Overview

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Dataset statistics

Number of variables192
Number of observations9
Missing cells515
Missing cells (%)29.8%
Total size in memory13.3 KiB
Average record size in memory1.5 KiB

Variable types

Text4
Numeric127
DateTime3
Unsupported22
Boolean36

Dataset

Description[unitless] Answers received from questionnaires. To compare each sensor observation, the frequency was reduced to one minute. The first non-missing name is reported for each of the categorical variables.
Creatorname
Authorname
URL
Copyright(c) liveme organization 2024

Variable descriptions

tokentoken
w2_experimentidexperimentid
w2_lastpagelastpage
w2_submitdatesubmitdate
w2_startlanguagestartlanguage
w2_startdatestartdate
w2_datestampdatestamp
w2_refurlrefurl
w2_A01With whom do you live? 1. Alone [Go to w2_A07] 2. Other students 3. Partner 4. Your children 5. Parents or other relatives [Skip C01] 6. Other, please specify: ________
w2_A01_otherWith whom do you live? Answer: Other, please specify: ________
w2_A02In addition to you, how many people do you share the accommodation with? |__|
w2_A03How many of these people attend university? |__|
w2_A04 Do you have a: 1. Single bedroom 2. Bedroom shared with another person 3. Bedroom shared with two people or more
w2_A05_1In your accommodation, which items do you have? (Multiple choice): Answer: 1. Colour television (common area)
w2_A05_2In your accommodation, which items do you have? (Multiple choice): Answer: 2. Colour television (in your bedroom)
w2_A05_3In your accommodation, which items do you have? (Multiple choice): Answer: 3. Home theatre/Stereo system
w2_A05_4In your accommodation, which items do you have? (Multiple choice): Answer: 4. Satellite dish / Sky TV
w2_A05_5In your accommodation, which items do you have? (Multiple choice): Answer: 5. Home computer/PC
w2_A05_6In your accommodation, which items do you have? (Multiple choice): Answer: 6. Laptop computer
w2_A05_7In your accommodation, which items do you have? (Multiple choice): Answer: 7. Tablet
w2_A05_8In your accommodation, which items do you have? (Multiple choice): Answer: 8. Landline telephone
w2_A05_9In your accommodation, which items do you have? (Multiple choice): Answer: 9. Dishwasher
w2_A05_10In your accommodation, which items do you have? (Multiple choice): Answer: 10. Wi-Fi
w2_A06_1All in all, what is your commute time and distance from your accommodation to university department? Time in minutes __________
w2_A06_2All in all, what is your commute time and distance from your accommodation to university department? Distance in Km ________ (Note: use decimals to indicate meters. For example, enter 0.800 if you travel 800 meter or write in 2.5 if you travel two and a half kilometres.)
w2_A07Have you been in paid employment in the last year or so? 1. Yes 2. No
w2_A08Do you currently do any work, including occasional work? 1. Yes 2. No
w2_B01_1Do you have a car driver’s license? 1. Yes, 2. No
w2_B01_2Do you have a motorbike driver’s license? 1. Yes, 2. No
w2_B01_3Do you have a bike of your own? 1. Yes, 2. No
w2_B01_4Do you have a car of your own? 1. Yes, 2. No
w2_B01_5Do you have a motorbike of your own? 1. Yes, 2. No
w2_B01_6Do you have access to a car whenever you want? 1. Yes, 2. No
w2_B01_7Do you have access to a motorbike whenever you want? 1. Yes, 2. No
w2_B02_1What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Walking
w2_B02_2What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Cycling
w2_B02_3What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Car (Filter: go to question
w2_B02_4What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Car-sharing (with friends/relative etc.)
w2_B02_5What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Motorbike
w2_B02_6What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: City bus/suburban bus/Tube (Public Transport)
w2_B02_7What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Train
w2_B02_8What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Electric scooters
w2_B03How often do you use public transport in the weekday? 1. Never 2. Less than once a week 3. Once a week 4. Once or twice a week 5. Most days 6. Everyday
w2_C01Would you say you know how to cook? 1. Yes, I know how to cook. 2. Yes, but only basic things. 3. No, I do not know how to cook. [go to D01]
w2_C02Is there a kitchen in your accommodation that you can use? 1. Yes, there is a kitchen that I can regularly use. 2. Yes, there is one but I don’t have regular access to it. 3. No, there is no kitchen.
w2_C03_1How good you are at each of the following tasks: baking cakes, cupcakes, cookies, bread from raw ingredients. 1. Very poor, 2, 3, 4, 5, 6, 7. Very good, 99. Don’t Know/Can’t say
w2_C03_2How good you are at each of the following tasks: peeling and chopping raw vegetables (including potatoes, carrots, onions, broccoli). 1. Very poor, 2, 3, 4, 5, 6, 7. Very good, 99. Don’t Know/Can’t say
w2_C03_3How good you are at each of the following tasks: preparing and cooking raw meat (red meat and poultry). 1. Very poor, 2, 3, 4, 5, 6, 7. Very good, 99. Don’t Know/Can’t say
w2_C03_4How good you are at each of the following tasks: preparing and cooking raw fish. 1. Very poor, 2, 3, 4, 5, 6, 7. Very good, 99. Don’t Know/Can’t say
w2_C03_5How good you are at each of the following tasks: following recipes when cooking. 1. Very poor, 2, 3, 4, 5, 6, 7. Very good, 99. Don’t Know/Can’t say
w2_C04How often do you cook a main meal? 1. Daily 2. Several times a week 3. Once a week 4. Less than once a week 5. Never
w2_C05_1Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: Cooking makes me happy.
w2_C05_2Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: Cooking is time consuming.
w2_C05_3Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: I am good at cooking.
w2_C05_4Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: Cooking is costly
w2_C05_5Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: Cooking helps me eat healthy.
w2_C05_6Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: Cooking is difficult.
w2_C05_7Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: Cooking is important to me.
w2_C05_8Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: Cooking is just a chore I have to do.
w2_C05_9Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: When cooking, I like to try new recipes.
w2_C06_1When looking for ideas or inspiration about cooking, what are you most likely to do? (Multiple choice) Answer: Turn to your family for tips
w2_C06_2When looking for ideas or inspiration about cooking, what are you most likely to do? (Multiple choice) Answer: Look online for recipes
w2_C06_3When looking for ideas or inspiration about cooking, what are you most likely to do? (Multiple choice) Answer: Look in cookbooks/magazines
w2_C06_4When looking for ideas or inspiration about cooking, what are you most likely to do? (Multiple choice) Answer: Use recipe apps
w2_C06_5When looking for ideas or inspiration about cooking, what are you most likely to do? (Multiple choice) Answer: Watch cooking shows online or on TV
w2_C06_6When looking for ideas or inspiration about cooking, what are you most likely to do? (Multiple choice) Answer: Ask friends for ideas
w2_C07_1Let us talk about your diet. Which of the following applies to you? (Multiple choice). Answer: I don’t follow a specific diet
w2_C07_2Let us talk about your diet. Which of the following applies to you? (Multiple choice). Answer: I follow a vegetarian or vegan diet
w2_C07_3Let us talk about your diet. Which of the following applies to you? (Multiple choice). Answer: I avoid certain foods for religious or cultural reasons
w2_C07_4Let us talk about your diet. Which of the following applies to you? (Multiple choice). Answer: I avoid or limit my intake of certain foods due to health problems (allergies, gluten intolerance, ...)
w2_C07_5Let us talk about your diet. Which of the following applies to you? (Multiple choice). Answer: I have no health issues but follow a health-food diet rigidly
w2_C07_6Let us talk about your diet. Which of the following applies to you? (Multiple choice). Answer: I limit consumption of certain foods to lose/maintain weight
w2_C07_7Let us talk about your diet. Which of the following applies to you? (Multiple choice). Answer: I like to try new foods and tastes.
w2_C08Which of the following statements best describes you? 1. For me, eating is a pleasure. 2. Eating for me is just a way not to feel hungry.
w2_C09Last month, how often did you shop for food groceries? 1. Rarely/Never [go to C13] 2. Once every 2 weeks 3. Once a week 4. A few times per week 5. Everyday
w2_C10_1Last month, how often did you buy the types of food products and supplements: Organic. 1. Never, 2. Rarely, 3. Often, 4. Always
w2_C10_2Last month, how often did you buy the types of food products and supplements: Zero-mile. 1. Never, 2. Rarely, 3. Often, 4. Always
w2_C10_3Last month, how often did you buy the types of food products and supplements: Weight-loss pills, teas and products - slim fast, weight watchers, meal replacements. 1. Never, 2. Rarely, 3. Often, 4. Always
w2_C10_4Last month, how often did you buy the types of food products and supplements: Dietary supplements - vitamins, iron, potassium... 1. Never, 2. Rarely, 3. Often, 4. Always
w2_C10_5Last month, how often did you buy the types of food products and supplements: Frozen items. 1. Never, 2. Rarely, 3. Often, 4. Always
w2_C10_6Last month, how often did you buy the types of food products and supplements: Allergen-free products - gluten free, lactose free. 1. Never, 2. Rarely, 3. Often, 4. Always
w2_C10_7Last month, how often did you buy the types of food products and supplements: Ready meals - to be just heated or defrosted in microwave/oven. 1. Never, 2. Rarely, 3. Often, 4. Always
w2_C11How much time do you spend shopping for your food groceries? Do not include the time to get to and from the store. 1. Little time, I shop as quickly as possible. 2. Time enough to find all I need. 3. More time than the strictly necessary.
w2_C12_1How often did you shop at the following super/markets last month? Answer: Specialised food shops (fishery, butchery, bakery, fruit and vegetable shops). 1. Never, 2. Rarely, 3. Often, 4. Always, 5. No nearby shops
w2_C12_2How often did you shop at the following super/markets last month? Answer: Organic Shops. 1. Never, 2. Rarely, 3. Often, 4. Always, 5. No nearby shops
w2_C12_3How often did you shop at the following super/markets last month? Answer: Supermarkets. 1. Never, 2. Rarely, 3. Often, 4. Always, 5. No nearby shops
w2_C12_4How often did you shop at the following super/markets last month? Answer: Discount supermarket. 1. Never, 2. Rarely, 3. Often, 4. Always, 5. No nearby shops
w2_C12_5How often did you shop at the following super/markets last month? Answer: Street markets 1. Never, 2. Rarely, 3. Often, 4. Always, 5. No nearby shops
w2_D01Beyond walking about, do you engage in other physical activities? 1. Yes 2. No
w2_D02Have you been physically active on a regular basis in the last year or so? 1. Yes 2. No [If w2_D01=No and w2_D02=No go to F01]
w2_D03_1Question: During the last year or so, how often have you done the following types of sport activities? | Answer: Cardio/fitness activities like swimming, running, jogging, stair climbing, cycling or rope skipping.
w2_D03_2Question: During the last year or so, how often have you done the following types of sport activities? | Answer: Yoga, stretching and fitness dancing activities like aerobics, dance exercise, Pilates.
w2_D03_3Question: During the last year or so, how often have you done the following types of sport activities? | Answer: Water sports like skiing, snowboarding, wakeboarding, diving, canoeing or rowing.
w2_D03_4Question: During the last year or so, how often have you done the following types of sport activities? | Answer: Weightlifting and resistance training including free weights, bench press, leg press, push-ups, pull-ups or sit-ups.
w2_D03_5Question: During the last year or so, how often have you done the following types of sport activities? | Answer: Team sports like soccer, basketball, hockey, baseball, and volleyball.
w2_D03_6Question: During the last year or so, how often have you done the following types of sport activities? | Answer: Boxing and martial arts like judo, karate and taekwondo.
w2_D03_7Question: During the last year or so, how often have you done the following types of sport activities? | Answer: Racket sports such as tennis, ping pong, and squash.
w2_D03_8Question: During the last year or so, how often have you done the following types of sport activities? | Answer: Outdoor recreational sports like climbing, hill trekking, walking, mountain biking, orienteering, skateboarding.
w2_D04How often do you do physical exercise? 1. Every few weeks or less 2. Once or twice a week 3. Three to five days a week 4. Six to seven days a week
w2_D05_1How often do you exercise alone? 1. Never, 2. Seldom, 3. Sometimes, 4. Often, 5. Always
w2_D05_2How often do you exercise with Friends, family members? 1. Never, 2. Seldom, 3. Sometimes, 4. Often, 5. Always
w2_D05_3How often do you exercise with Trainer, a group or sport team? 1. Never, 2. Seldom, 3. Sometimes, 4. Often, 5. Always
w2_D06_1Question: When exercising, which of the following devices do you use? (Multiple choice) | Answer: Wearable fitness trackers.
w2_D06_2Question: When exercising, which of the following devices do you use? (Multiple choice) | Answer: Smartwatches.
w2_D06_3Question: When exercising, which of the following devices do you use? (Multiple choice) | Answer: Smartphone fitness apps.
w2_D06_4Question: When exercising, which of the following devices do you use? (Multiple choice) | Answer: Headphones.
w2_D06_5Question: When exercising, which of the following devices do you use? (Multiple choice) | Answer: None.
w2_D06_otherQuestion: When exercising, which of the following devices do you use? (Multiple choice) | Answer: Other, please specify.
w2_D07_1Question: Read the following statements and indicate how often you do the following. | Answer: Look for fitness information on the Internet.
w2_D07_2Question: Read the following statements and indicate how often you do the following. | Answer: Read specialised magazines about sports and physical activities.
w2_D07_3Question: Read the following statements and indicate how often you do the following. | Answer: Ask fitness trainers for advice on how to improve your workout routines.
w2_D07_4Question: Read the following statements and indicate how often you do the following. | Answer: Talk with sporty people about training routines and sports equipment.
w2_D07_5Question: Read the following statements and indicate how often you do the following. | Answer: Use Apps for fitness information.
w2_E01_1Question: Have you given your time to help in any of the following ways outside of school or college hours in the last three months? Statement: Helped out at a local club, group, organization or place of worship. | Answer: 1. Yes, 2. No.
w2_E01_2Question: Have you given your time to help in any of the following ways outside of school or college hours in the last three months? Statement: Helped out other organizations. | Answer: 1. Yes, 2. No.
w2_E01_3Question: Have you given your time to help in any of the following ways outside of school or college hours in the last three months? Statement: Raised money for charity (including taking part in a sponsored event). | Answer: 1. Yes, 2. No.
w2_E01_4Question: Have you given your time to help in any of the following ways outside of school or college hours in the last three months? Statement: Contacted someone (e.g., council, media, school) about something affecting your local area. | Answer: 1. Yes, 2. No.
w2_E01_5Question: Have you given your time to help in any of the following ways outside of school or college hours in the last three months? Statement: Organized a petition or event to support a local or national issue. | Answer: 1. Yes, 2. No.
w2_E01_6Question: Have you given your time to help in any of the following ways outside of school or college hours in the last three months? Statement: Done something to help other people, or to improve a local area. | Answer: 1. Yes, 2. No.
w2_E02_1Question: Now, think about people you know who you would feel happy getting in touch with to ask for advice or a favour. How many are from a different school or college to you? | Answer: 1. None, 2. Almost none, 3. Someone, 4. Many.
w2_E02_2Question: Now, think about people you know who you would feel happy getting in touch with to ask for advice or a favour. How many are from a different ethnicity to you? | Answer: 1. None, 2. Almost none, 3. Someone, 4. Many.
w2_E02_3Question: Now, think about people you know who you would feel happy getting in touch with to ask for advice or a favour. How many are from a different religious background to you? | Answer: 1. None, 2. Almost none, 3. Someone, 4. Many.
w2_E02_4Question: Now, think about people you know who you would feel happy getting in touch with to ask for advice or a favour. How many are from a richer or poorer background to you? | Answer: 1. None, 2. Almost none, 3. Someone, 4. Many.
w2_E02_5Question: Now, think about people you know who you would feel happy getting in touch with to ask for advice or a favour. How many are of a different sexual orientation than yours? | Answer: 1. None, 2. Almost none, 3. Someone, 4. Many.
w2_F02_1Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: systematic ... casual
w2_F02_2Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: talkative ... quiet
w2_F02_3Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: open-ended ... planned
w2_F02_4Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: questioning ... accommodating
w2_F02_5Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: logic ... empathy
w2_F02_6Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: sociable ... reversed
w2_F02_7Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: impartial ... merciful
w2_F02_8Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: practical ... conceptual
w2_F02_9Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: pressured ... unpressured
w2_F02_10Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: sceptical ... tolerant
w2_F02_11Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: hands-on ... theoretical
w2_F02_12Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: contained ... expressive
w2_F02_13Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: reading ... listening
w2_F02_14Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: concrete ... abstract
w2_F02_15Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more : methodical ... improviser
w2_F02_16Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: routine ... variety
w2_F02_17Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: truthful ... tactful
w2_F02_18Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: fact-finding ... speculate
w2_F02_19Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: individuals ... groups
w2_F02_20Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: traditional ... novel
w2_F01_1Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: Thinking up new ideas and being creative is important to them. They like to do things in their own original way
w2_F01_2Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to be rich. They want to have a lot of money and expensive things
w2_F01_3Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They think it is important that every person in the world be treated equally. They want justice for everybody, even for people they don't know.
w2_F01_4Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It's very important to them to show their abilities. They want people to admire what he does
w2_F01_5Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to live in secure surroundings. They avoid anything that might endanger their safety
w2_F01_6Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They think it is important to do lots of different things in life. They always look for new things to try
w2_F01_7Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They believe that people should do what they're told. They think people should follow rules at all times, even when no-one is watching
w2_F01_8Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to listen to people who are different from them. Even when he disagrees with them, they still want to understand them
w2_F01_9Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They think it's important not to ask for more than what you have. They believe that people should be satisfied with what they have
w2_F01_10Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They seek every chance he can to have fun. It is important to them to do things that give them pleasure
w2_F01_11Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to make their own decisions about what he does. They like to be free to plan and to choose their activities for themself
w2_F01_12Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It's very important to them to help the people around them. They want to care for other people
w2_F01_13Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: Being very successful is important to them. They like to impress other people
w2_F01_14Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is very important to them that their country is safe. They think the state must be on watch against threats from within and without
w2_F01_15Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They like to take risks. They are always looking for adventures
w2_F01_16Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them always to behave properly. They want to avoid doing to anything people would say is wrong
w2_F01_17Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to be in charge and tell others what to do. They want people to do what he says
w2_F01_18Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to be loyal to their friends. They want to devote themself to people close to them
w2_F01_19Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They strongly believe that people should care for nature. Looking after the environment is important to them
w2_F01_20Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: Religious belief is important to them. They try hard to do what their religion requires
w2_F01_21Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them that things be organized and clean. They do not want things to be a mess
w2_F01_22Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They think it is important to be interested in things. They like to be curious and to try to understand all sorts of things
w2_F01_23Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They believe all the worlds' people should live in harmony. Promoting peace among all groups in the world is important to them
w2_F01_24Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They think it is important to be ambitious. They want to show how capable he is
w2_F01_25Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They believe it is best to do things in traditional ways. It is important to them to follow the customs he has learned
w2_F01_26Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: Enjoying life's pleasures is important to them. They like to 'spoil' themself
w2_F01_27Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to respond to the needs of others. They try to support those he knows
w2_F01_28Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to be obedient. They believe he should always show respect to their parents and to older people
w2_F01_29Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They want everyone to be treated justly, even people he doesn't know. It is important to them to protect the weak in society
w2_F01_30Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They like surprises. It is important to them to have an exciting life
w2_F01_31Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They try hard to avoid getting sick. Staying healthy is very important to them
w2_F01_32Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: Getting ahead in life is important to them. They strive to do better than others
w2_F01_33Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: Forgiving people who might have wronged them is important to them. They try to see what is good in them and not to hold a grudge
w2_F01_34Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to be independent. They like to rely on themself
w2_F01_35Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: Having a stable government is important to them. They are concerned that the social order be protected
w2_F01_36Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to be polite to other people all the time. They try never to disturb or irritate other expectations
w2_F01_37Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They really want to enjoy life. Having a good time is very important to them
w2_F01_38Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to be humble and modest. They try not to draw to themself
w2_F01_39Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They always want to be the one who makes the decisions. They like to be the leader
w2_F01_40Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to adapt to nature and to fit into it. They believe that people should not change nature
w2_interviewtimeinterviewtime
w2_GT_A1
w2_GT_A2
w2_GT_B
w2_GT_C
w2_GT_D
w2_GT_E
w2_GT_F

Alerts

w2_experimentid has constant value "wenetMexico" Constant
w2_lastpage has constant value "8" Constant
w2_A05_2 has constant value "False" Constant
w2_A05_5 has constant value "False" Constant
w2_A05_6 has constant value "True" Constant
w2_A05_7 has constant value "False" Constant
w2_A05_9 has constant value "False" Constant
w2_A05_10 has constant value "True" Constant
w2_B01_2 has constant value "2" Constant
w2_B01_5 has constant value "2" Constant
w2_B01_7 has constant value "2" Constant
w2_B02_5 has constant value "False" Constant
w2_B02_7 has constant value "False" Constant
w2_B02_8 has constant value "False" Constant
w2_C02 has constant value "1" Constant
w2_C06_3 has constant value "False" Constant
w2_C06_6 has constant value "False" Constant
w2_C07_2 has constant value "False" Constant
w2_C07_3 has constant value "False" Constant
w2_C07_4 has constant value "False" Constant
w2_C10_3 has constant value "1" Constant
w2_D03_5 has constant value "1" Constant
w2_D03_7 has constant value "1" Constant
w2_D06_1 has constant value "False" Constant
w2_D07_2 has constant value "1" Constant
w2_E01_3 has constant value "2" Constant
w2_lastpage has 1 (11.1%) missing values Missing
w2_submitdate has 1 (11.1%) missing values Missing
w2_refurl has 2 (22.2%) missing values Missing
w2_A01 has 1 (11.1%) missing values Missing
w2_A01_other has 9 (100.0%) missing values Missing
w2_A02 has 1 (11.1%) missing values Missing
w2_A03 has 1 (11.1%) missing values Missing
w2_A04 has 1 (11.1%) missing values Missing
w2_A05_1 has 1 (11.1%) missing values Missing
w2_A05_2 has 1 (11.1%) missing values Missing
w2_A05_3 has 1 (11.1%) missing values Missing
w2_A05_4 has 1 (11.1%) missing values Missing
w2_A05_5 has 1 (11.1%) missing values Missing
w2_A05_6 has 1 (11.1%) missing values Missing
w2_A05_7 has 1 (11.1%) missing values Missing
w2_A05_8 has 1 (11.1%) missing values Missing
w2_A05_9 has 1 (11.1%) missing values Missing
w2_A05_10 has 1 (11.1%) missing values Missing
w2_A06_1 has 1 (11.1%) missing values Missing
w2_A06_2 has 2 (22.2%) missing values Missing
w2_A07 has 1 (11.1%) missing values Missing
w2_A08 has 1 (11.1%) missing values Missing
w2_B01_1 has 1 (11.1%) missing values Missing
w2_B01_2 has 2 (22.2%) missing values Missing
w2_B01_3 has 2 (22.2%) missing values Missing
w2_B01_4 has 1 (11.1%) missing values Missing
w2_B01_5 has 2 (22.2%) missing values Missing
w2_B01_6 has 1 (11.1%) missing values Missing
w2_B01_7 has 2 (22.2%) missing values Missing
w2_B02_1 has 1 (11.1%) missing values Missing
w2_B02_2 has 1 (11.1%) missing values Missing
w2_B02_3 has 1 (11.1%) missing values Missing
w2_B02_4 has 1 (11.1%) missing values Missing
w2_B02_5 has 1 (11.1%) missing values Missing
w2_B02_6 has 1 (11.1%) missing values Missing
w2_B02_7 has 1 (11.1%) missing values Missing
w2_B02_8 has 1 (11.1%) missing values Missing
w2_B03 has 1 (11.1%) missing values Missing
w2_C01 has 1 (11.1%) missing values Missing
w2_C02 has 7 (77.8%) missing values Missing
w2_C03_1 has 3 (33.3%) missing values Missing
w2_C03_2 has 3 (33.3%) missing values Missing
w2_C03_3 has 3 (33.3%) missing values Missing
w2_C03_4 has 3 (33.3%) missing values Missing
w2_C03_5 has 3 (33.3%) missing values Missing
w2_C04 has 3 (33.3%) missing values Missing
w2_C05_1 has 3 (33.3%) missing values Missing
w2_C05_2 has 3 (33.3%) missing values Missing
w2_C05_3 has 3 (33.3%) missing values Missing
w2_C05_4 has 3 (33.3%) missing values Missing
w2_C05_5 has 3 (33.3%) missing values Missing
w2_C05_6 has 3 (33.3%) missing values Missing
w2_C05_7 has 3 (33.3%) missing values Missing
w2_C05_8 has 3 (33.3%) missing values Missing
w2_C05_9 has 3 (33.3%) missing values Missing
w2_C06_1 has 3 (33.3%) missing values Missing
w2_C06_2 has 3 (33.3%) missing values Missing
w2_C06_3 has 3 (33.3%) missing values Missing
w2_C06_4 has 3 (33.3%) missing values Missing
w2_C06_5 has 3 (33.3%) missing values Missing
w2_C06_6 has 3 (33.3%) missing values Missing
w2_C07_1 has 3 (33.3%) missing values Missing
w2_C07_2 has 3 (33.3%) missing values Missing
w2_C07_3 has 3 (33.3%) missing values Missing
w2_C07_4 has 3 (33.3%) missing values Missing
w2_C07_5 has 3 (33.3%) missing values Missing
w2_C07_6 has 3 (33.3%) missing values Missing
w2_C07_7 has 3 (33.3%) missing values Missing
w2_C08 has 3 (33.3%) missing values Missing
w2_C09 has 3 (33.3%) missing values Missing
w2_C10_1 has 3 (33.3%) missing values Missing
w2_C10_2 has 3 (33.3%) missing values Missing
w2_C10_3 has 3 (33.3%) missing values Missing
w2_C10_4 has 3 (33.3%) missing values Missing
w2_C10_5 has 3 (33.3%) missing values Missing
w2_C10_6 has 3 (33.3%) missing values Missing
w2_C10_7 has 3 (33.3%) missing values Missing
w2_C11 has 3 (33.3%) missing values Missing
w2_C12_1 has 3 (33.3%) missing values Missing
w2_C12_2 has 3 (33.3%) missing values Missing
w2_C12_3 has 3 (33.3%) missing values Missing
w2_C12_4 has 3 (33.3%) missing values Missing
w2_C12_5 has 3 (33.3%) missing values Missing
w2_D01 has 1 (11.1%) missing values Missing
w2_D02 has 1 (11.1%) missing values Missing
w2_D03_1 has 3 (33.3%) missing values Missing
w2_D03_2 has 3 (33.3%) missing values Missing
w2_D03_3 has 3 (33.3%) missing values Missing
w2_D03_4 has 3 (33.3%) missing values Missing
w2_D03_5 has 3 (33.3%) missing values Missing
w2_D03_6 has 3 (33.3%) missing values Missing
w2_D03_7 has 3 (33.3%) missing values Missing
w2_D03_8 has 3 (33.3%) missing values Missing
w2_D04 has 3 (33.3%) missing values Missing
w2_D05_1 has 3 (33.3%) missing values Missing
w2_D05_2 has 3 (33.3%) missing values Missing
w2_D05_3 has 3 (33.3%) missing values Missing
w2_D06_1 has 3 (33.3%) missing values Missing
w2_D06_2 has 3 (33.3%) missing values Missing
w2_D06_3 has 3 (33.3%) missing values Missing
w2_D06_4 has 3 (33.3%) missing values Missing
w2_D06_5 has 3 (33.3%) missing values Missing
w2_D06_other has 9 (100.0%) missing values Missing
w2_D07_1 has 3 (33.3%) missing values Missing
w2_D07_2 has 3 (33.3%) missing values Missing
w2_D07_3 has 3 (33.3%) missing values Missing
w2_D07_4 has 3 (33.3%) missing values Missing
w2_D07_5 has 3 (33.3%) missing values Missing
w2_E01_1 has 1 (11.1%) missing values Missing
w2_E01_2 has 1 (11.1%) missing values Missing
w2_E01_3 has 2 (22.2%) missing values Missing
w2_E01_4 has 1 (11.1%) missing values Missing
w2_E01_5 has 1 (11.1%) missing values Missing
w2_E01_6 has 1 (11.1%) missing values Missing
w2_E02_1 has 3 (33.3%) missing values Missing
w2_E02_2 has 4 (44.4%) missing values Missing
w2_E02_3 has 3 (33.3%) missing values Missing
w2_E02_4 has 2 (22.2%) missing values Missing
w2_E02_5 has 2 (22.2%) missing values Missing
w2_F02_1 has 9 (100.0%) missing values Missing
w2_F02_2 has 9 (100.0%) missing values Missing
w2_F02_3 has 9 (100.0%) missing values Missing
w2_F02_4 has 9 (100.0%) missing values Missing
w2_F02_5 has 9 (100.0%) missing values Missing
w2_F02_6 has 9 (100.0%) missing values Missing
w2_F02_7 has 9 (100.0%) missing values Missing
w2_F02_8 has 9 (100.0%) missing values Missing
w2_F02_9 has 9 (100.0%) missing values Missing
w2_F02_10 has 9 (100.0%) missing values Missing
w2_F02_11 has 9 (100.0%) missing values Missing
w2_F02_12 has 9 (100.0%) missing values Missing
w2_F02_13 has 9 (100.0%) missing values Missing
w2_F02_14 has 9 (100.0%) missing values Missing
w2_F02_15 has 9 (100.0%) missing values Missing
w2_F02_16 has 9 (100.0%) missing values Missing
w2_F02_17 has 9 (100.0%) missing values Missing
w2_F02_18 has 9 (100.0%) missing values Missing
w2_F02_19 has 9 (100.0%) missing values Missing
w2_F02_20 has 9 (100.0%) missing values Missing
w2_F01_1 has 1 (11.1%) missing values Missing
w2_F01_2 has 1 (11.1%) missing values Missing
w2_F01_3 has 1 (11.1%) missing values Missing
w2_F01_4 has 1 (11.1%) missing values Missing
w2_F01_5 has 1 (11.1%) missing values Missing
w2_F01_6 has 1 (11.1%) missing values Missing
w2_F01_7 has 1 (11.1%) missing values Missing
w2_F01_8 has 1 (11.1%) missing values Missing
w2_F01_9 has 1 (11.1%) missing values Missing
w2_F01_10 has 1 (11.1%) missing values Missing
w2_F01_11 has 1 (11.1%) missing values Missing
w2_F01_12 has 1 (11.1%) missing values Missing
w2_F01_13 has 1 (11.1%) missing values Missing
w2_F01_14 has 1 (11.1%) missing values Missing
w2_F01_15 has 1 (11.1%) missing values Missing
w2_F01_16 has 1 (11.1%) missing values Missing
w2_F01_17 has 1 (11.1%) missing values Missing
w2_F01_18 has 1 (11.1%) missing values Missing
w2_F01_19 has 1 (11.1%) missing values Missing
w2_F01_20 has 2 (22.2%) missing values Missing
w2_F01_21 has 1 (11.1%) missing values Missing
w2_F01_22 has 1 (11.1%) missing values Missing
w2_F01_23 has 1 (11.1%) missing values Missing
w2_F01_24 has 1 (11.1%) missing values Missing
w2_F01_25 has 1 (11.1%) missing values Missing
w2_F01_26 has 1 (11.1%) missing values Missing
w2_F01_27 has 1 (11.1%) missing values Missing
w2_F01_28 has 1 (11.1%) missing values Missing
w2_F01_29 has 1 (11.1%) missing values Missing
w2_F01_30 has 1 (11.1%) missing values Missing
w2_F01_31 has 1 (11.1%) missing values Missing
w2_F01_32 has 1 (11.1%) missing values Missing
w2_F01_33 has 1 (11.1%) missing values Missing
w2_F01_34 has 1 (11.1%) missing values Missing
w2_F01_35 has 1 (11.1%) missing values Missing
w2_F01_36 has 1 (11.1%) missing values Missing
w2_F01_37 has 1 (11.1%) missing values Missing
w2_F01_38 has 1 (11.1%) missing values Missing
w2_F01_39 has 1 (11.1%) missing values Missing
w2_F01_40 has 1 (11.1%) missing values Missing
w2_GT_A1 has 1 (11.1%) missing values Missing
w2_GT_A2 has 1 (11.1%) missing values Missing
w2_GT_B has 1 (11.1%) missing values Missing
w2_GT_C has 1 (11.1%) missing values Missing
w2_GT_D has 1 (11.1%) missing values Missing
w2_GT_E has 1 (11.1%) missing values Missing
w2_GT_F has 1 (11.1%) missing values Missing
token has unique values Unique
w2_startdate has unique values Unique
w2_datestamp has unique values Unique
w2_interviewtime has unique values Unique
w2_A01_other is an unsupported type, check if it needs cleaning or further analysis Unsupported
w2_D06_other is an unsupported type, check if it needs cleaning or further analysis Unsupported
w2_F02_1 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w2_F02_2 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w2_F02_3 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w2_F02_4 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w2_F02_5 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w2_F02_6 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w2_F02_7 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w2_F02_8 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w2_F02_9 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w2_F02_10 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w2_F02_11 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w2_F02_12 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w2_F02_13 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w2_F02_14 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w2_F02_15 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w2_F02_16 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w2_F02_17 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w2_F02_18 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w2_F02_19 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w2_F02_20 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w2_A03 has 5 (55.6%) zeros Zeros
w2_interviewtime has 1 (11.1%) zeros Zeros

Reproduction

Analysis started2025-02-26 16:46:30.449879
Analysis finished2025-02-26 16:46:30.827013
Duration0.38 seconds
Software versionydata-profiling v0.0.dev0
Download configurationconfig.json

Variables

token
Text

Unique 

token

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size303.0 B
2025-02-26T17:46:30.895551image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length15
Median length15
Mean length11
Min length4

Characters and Unicode

Total characters99
Distinct characters45
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)100.0%

Sample

1st row111aaa
2nd rowokokok
3rd rowa962haS9wkBKZa1
4th rowipipio09
5th rowvQmGWULaTgy0MzC
ValueCountFrequency (%)
111aaa 1
11.1%
okokok 1
11.1%
a962has9wkbkza1 1
11.1%
ipipio09 1
11.1%
vqmgwulatgy0mzc 1
11.1%
1234 1
11.1%
945lhphtgtjp8ub 1
11.1%
5kvt7mdxztzduwv 1
11.1%
e5izpyvnpzzawtg 1
11.1%
2025-02-26T17:46:31.027107image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 8
 
8.1%
z 6
 
6.1%
1 5
 
5.1%
o 4
 
4.0%
k 4
 
4.0%
9 4
 
4.0%
i 4
 
4.0%
p 4
 
4.0%
T 4
 
4.0%
h 3
 
3.0%
Other values (35) 53
53.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 99
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
a 8
 
8.1%
z 6
 
6.1%
1 5
 
5.1%
o 4
 
4.0%
k 4
 
4.0%
9 4
 
4.0%
i 4
 
4.0%
p 4
 
4.0%
T 4
 
4.0%
h 3
 
3.0%
Other values (35) 53
53.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 99
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
a 8
 
8.1%
z 6
 
6.1%
1 5
 
5.1%
o 4
 
4.0%
k 4
 
4.0%
9 4
 
4.0%
i 4
 
4.0%
p 4
 
4.0%
T 4
 
4.0%
h 3
 
3.0%
Other values (35) 53
53.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 99
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
a 8
 
8.1%
z 6
 
6.1%
1 5
 
5.1%
o 4
 
4.0%
k 4
 
4.0%
9 4
 
4.0%
i 4
 
4.0%
p 4
 
4.0%
T 4
 
4.0%
h 3
 
3.0%
Other values (35) 53
53.5%

w2_experimentid
Text

Constant 

experimentid

Distinct1
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size303.0 B
2025-02-26T17:46:31.094296image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters99
Distinct characters9
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowwenetMexico
2nd rowwenetMexico
3rd rowwenetMexico
4th rowwenetMexico
5th rowwenetMexico
ValueCountFrequency (%)
wenetmexico 9
100.0%
2025-02-26T17:46:31.196582image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 27
27.3%
w 9
 
9.1%
n 9
 
9.1%
t 9
 
9.1%
M 9
 
9.1%
x 9
 
9.1%
i 9
 
9.1%
c 9
 
9.1%
o 9
 
9.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 99
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 27
27.3%
w 9
 
9.1%
n 9
 
9.1%
t 9
 
9.1%
M 9
 
9.1%
x 9
 
9.1%
i 9
 
9.1%
c 9
 
9.1%
o 9
 
9.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 99
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 27
27.3%
w 9
 
9.1%
n 9
 
9.1%
t 9
 
9.1%
M 9
 
9.1%
x 9
 
9.1%
i 9
 
9.1%
c 9
 
9.1%
o 9
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 99
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 27
27.3%
w 9
 
9.1%
n 9
 
9.1%
t 9
 
9.1%
M 9
 
9.1%
x 9
 
9.1%
i 9
 
9.1%
c 9
 
9.1%
o 9
 
9.1%

w2_lastpage
Real number (ℝ)

Constant  Missing 

lastpage

Distinct1
Distinct (%)12.5%
Missing1
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean8
Minimum8
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:31.237165image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile8
Q18
median8
Q38
95-th percentile8
Maximum8
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean8
Median Absolute Deviation (MAD)0
Skewness0
Sum64
Variance0
MonotonicityIncreasing
2025-02-26T17:46:31.271247image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
8 8
88.9%
(Missing) 1
 
11.1%
ValueCountFrequency (%)
8 8
88.9%
ValueCountFrequency (%)
8 8
88.9%

w2_submitdate
Date

Missing 

submitdate

Distinct8
Distinct (%)100.0%
Missing1
Missing (%)11.1%
Memory size204.0 B
Minimum2021-11-18 21:22:52
Maximum2021-11-25 19:32:10
2025-02-26T17:46:31.303763image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-02-26T17:46:31.342049image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)

w2_startlanguage
Text

startlanguage

Distinct2
Distinct (%)22.2%
Missing0
Missing (%)0.0%
Memory size222.0 B
2025-02-26T17:46:31.374418image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters18
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowen
2nd rowen
3rd rowes
4th rowen
5th rowen
ValueCountFrequency (%)
en 5
55.6%
es 4
44.4%
2025-02-26T17:46:31.454220image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 9
50.0%
n 5
27.8%
s 4
22.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 18
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 9
50.0%
n 5
27.8%
s 4
22.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 18
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 9
50.0%
n 5
27.8%
s 4
22.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 18
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 9
50.0%
n 5
27.8%
s 4
22.2%

w2_startdate
Date

Unique 

startdate

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size204.0 B
Minimum2021-11-18 21:17:15
Maximum2021-11-25 19:12:53
2025-02-26T17:46:31.496320image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-02-26T17:46:31.537871image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)

w2_datestamp
Date

Unique 

datestamp

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size204.0 B
Minimum2021-11-18 21:22:52
Maximum2021-11-25 19:32:10
2025-02-26T17:46:31.575333image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-02-26T17:46:31.612723image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)

w2_refurl
Text

Missing 

refurl

Distinct2
Distinct (%)28.6%
Missing2
Missing (%)22.2%
Memory size279.0 B
2025-02-26T17:46:31.673568image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length13
Median length10
Mean length10.42857143
Min length10

Characters and Unicode

Total characters73
Distinct characters15
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)14.3%

Sample

1st rowlimesurvey
2nd rowlimesurvey
3rd rowlimesurvey
4th rowlimesurvey
5th rowlimesurvey
ValueCountFrequency (%)
limesurvey 6
85.7%
android-gmail 1
 
14.3%
2025-02-26T17:46:31.780866image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 12
16.4%
i 8
11.0%
l 7
9.6%
m 7
9.6%
r 7
9.6%
s 6
8.2%
u 6
8.2%
v 6
8.2%
y 6
8.2%
a 2
 
2.7%
Other values (5) 6
8.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 73
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 12
16.4%
i 8
11.0%
l 7
9.6%
m 7
9.6%
r 7
9.6%
s 6
8.2%
u 6
8.2%
v 6
8.2%
y 6
8.2%
a 2
 
2.7%
Other values (5) 6
8.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 73
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 12
16.4%
i 8
11.0%
l 7
9.6%
m 7
9.6%
r 7
9.6%
s 6
8.2%
u 6
8.2%
v 6
8.2%
y 6
8.2%
a 2
 
2.7%
Other values (5) 6
8.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 73
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 12
16.4%
i 8
11.0%
l 7
9.6%
m 7
9.6%
r 7
9.6%
s 6
8.2%
u 6
8.2%
v 6
8.2%
y 6
8.2%
a 2
 
2.7%
Other values (5) 6
8.2%

w2_A01
Real number (ℝ)

Missing 

With whom do you live? 1. Alone [Go to w2_A07] 2. Other students 3. Partner 4. Your children 5. Parents or other relatives [Skip C01] 6. Other, please specify: ________

Distinct4
Distinct (%)50.0%
Missing1
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean4.25
Minimum2
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:31.821362image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2.35
Q13.75
median5
Q35
95-th percentile5
Maximum5
Range3
Interquartile range (IQR)1.25

Descriptive statistics

Standard deviation1.164964745
Coefficient of variation (CV)0.2741093518
Kurtosis0.620498615
Mean4.25
Median Absolute Deviation (MAD)0
Skewness-1.355360645
Sum34
Variance1.357142857
MonotonicityNot monotonic
2025-02-26T17:46:31.858045image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
5 5
55.6%
2 1
 
11.1%
4 1
 
11.1%
3 1
 
11.1%
(Missing) 1
 
11.1%
ValueCountFrequency (%)
2 1
 
11.1%
3 1
 
11.1%
4 1
 
11.1%
5 5
55.6%
ValueCountFrequency (%)
5 5
55.6%
4 1
 
11.1%
3 1
 
11.1%
2 1
 
11.1%

w2_A01_other
Unsupported

Missing  Rejected  Unsupported 

With whom do you live? Answer: Other, please specify: ________

Missing9
Missing (%)100.0%
Memory size206.0 B

w2_A02
Real number (ℝ)

Missing 

In addition to you, how many people do you share the accommodation with? |__|

Distinct4
Distinct (%)50.0%
Missing1
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean2.625
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:31.895844image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.35
Q12
median2.5
Q33
95-th percentile4.3
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.187734939
Coefficient of variation (CV)0.452470453
Kurtosis1.871751322
Mean2.625
Median Absolute Deviation (MAD)0.5
Skewness0.9698281125
Sum21
Variance1.410714286
MonotonicityNot monotonic
2025-02-26T17:46:31.996252image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
3 3
33.3%
2 3
33.3%
5 1
 
11.1%
1 1
 
11.1%
(Missing) 1
 
11.1%
ValueCountFrequency (%)
1 1
 
11.1%
2 3
33.3%
3 3
33.3%
5 1
 
11.1%
ValueCountFrequency (%)
5 1
 
11.1%
3 3
33.3%
2 3
33.3%
1 1
 
11.1%

w2_A03
Real number (ℝ)

Missing  Zeros 

How many of these people attend university? |__|

Distinct3
Distinct (%)37.5%
Missing1
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean0.5
Minimum0
Maximum2
Zeros5
Zeros (%)55.6%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:32.036284image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1.65
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.755928946
Coefficient of variation (CV)1.511857892
Kurtosis0.875
Mean0.5
Median Absolute Deviation (MAD)0
Skewness1.322875656
Sum4
Variance0.5714285714
MonotonicityNot monotonic
2025-02-26T17:46:32.077591image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 5
55.6%
1 2
 
22.2%
2 1
 
11.1%
(Missing) 1
 
11.1%
ValueCountFrequency (%)
0 5
55.6%
1 2
 
22.2%
2 1
 
11.1%
ValueCountFrequency (%)
2 1
 
11.1%
1 2
 
22.2%
0 5
55.6%

w2_A04
Real number (ℝ)

Missing 

Do you have a: 1. Single bedroom 2. Bedroom shared with another person 3. Bedroom shared with two people or more

Distinct2
Distinct (%)25.0%
Missing1
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean1.125
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:32.117428image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1.65
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3535533906
Coefficient of variation (CV)0.3142696805
Kurtosis8
Mean1.125
Median Absolute Deviation (MAD)0
Skewness2.828427125
Sum9
Variance0.125
MonotonicityIncreasing
2025-02-26T17:46:32.156576image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 7
77.8%
2 1
 
11.1%
(Missing) 1
 
11.1%
ValueCountFrequency (%)
1 7
77.8%
2 1
 
11.1%
ValueCountFrequency (%)
2 1
 
11.1%
1 7
77.8%

w2_A05_1
Boolean

Missing 

In your accommodation, which items do you have? (Multiple choice): Answer: 1. Colour television (common area)

Distinct2
Distinct (%)25.0%
Missing1
Missing (%)11.1%
Memory size150.0 B
True
False
(Missing)
ValueCountFrequency (%)
True 5
55.6%
False 3
33.3%
(Missing) 1
 
11.1%
2025-02-26T17:46:32.194630image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_A05_2
Boolean

Constant  Missing 

In your accommodation, which items do you have? (Multiple choice): Answer: 2. Colour television (in your bedroom)

Distinct1
Distinct (%)12.5%
Missing1
Missing (%)11.1%
Memory size150.0 B
False
(Missing)
ValueCountFrequency (%)
False 8
88.9%
(Missing) 1
 
11.1%
2025-02-26T17:46:32.228826image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_A05_3
Boolean

Missing 

In your accommodation, which items do you have? (Multiple choice): Answer: 3. Home theatre/Stereo system

Distinct2
Distinct (%)25.0%
Missing1
Missing (%)11.1%
Memory size150.0 B
False
True
(Missing)
ValueCountFrequency (%)
False 6
66.7%
True 2
 
22.2%
(Missing) 1
 
11.1%
2025-02-26T17:46:32.262906image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_A05_4
Boolean

Missing 

In your accommodation, which items do you have? (Multiple choice): Answer: 4. Satellite dish / Sky TV

Distinct2
Distinct (%)25.0%
Missing1
Missing (%)11.1%
Memory size150.0 B
False
True
(Missing)
ValueCountFrequency (%)
False 7
77.8%
True 1
 
11.1%
(Missing) 1
 
11.1%
2025-02-26T17:46:32.298327image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_A05_5
Boolean

Constant  Missing 

In your accommodation, which items do you have? (Multiple choice): Answer: 5. Home computer/PC

Distinct1
Distinct (%)12.5%
Missing1
Missing (%)11.1%
Memory size150.0 B
False
(Missing)
ValueCountFrequency (%)
False 8
88.9%
(Missing) 1
 
11.1%
2025-02-26T17:46:32.333190image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_A05_6
Boolean

Constant  Missing 

In your accommodation, which items do you have? (Multiple choice): Answer: 6. Laptop computer

Distinct1
Distinct (%)12.5%
Missing1
Missing (%)11.1%
Memory size150.0 B
True
(Missing)
ValueCountFrequency (%)
True 8
88.9%
(Missing) 1
 
11.1%
2025-02-26T17:46:32.364736image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_A05_7
Boolean

Constant  Missing 

In your accommodation, which items do you have? (Multiple choice): Answer: 7. Tablet

Distinct1
Distinct (%)12.5%
Missing1
Missing (%)11.1%
Memory size150.0 B
False
(Missing)
ValueCountFrequency (%)
False 8
88.9%
(Missing) 1
 
11.1%
2025-02-26T17:46:32.396458image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_A05_8
Boolean

Missing 

In your accommodation, which items do you have? (Multiple choice): Answer: 8. Landline telephone

Distinct2
Distinct (%)25.0%
Missing1
Missing (%)11.1%
Memory size150.0 B
False
True
(Missing)
ValueCountFrequency (%)
False 6
66.7%
True 2
 
22.2%
(Missing) 1
 
11.1%
2025-02-26T17:46:32.430399image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_A05_9
Boolean

Constant  Missing 

In your accommodation, which items do you have? (Multiple choice): Answer: 9. Dishwasher

Distinct1
Distinct (%)12.5%
Missing1
Missing (%)11.1%
Memory size150.0 B
False
(Missing)
ValueCountFrequency (%)
False 8
88.9%
(Missing) 1
 
11.1%
2025-02-26T17:46:32.464426image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_A05_10
Boolean

Constant  Missing 

In your accommodation, which items do you have? (Multiple choice): Answer: 10. Wi-Fi

Distinct1
Distinct (%)12.5%
Missing1
Missing (%)11.1%
Memory size150.0 B
True
(Missing)
ValueCountFrequency (%)
True 8
88.9%
(Missing) 1
 
11.1%
2025-02-26T17:46:32.496744image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_A06_1
Real number (ℝ)

Missing 

All in all, what is your commute time and distance from your accommodation to university department? Time in minutes __________

Distinct6
Distinct (%)75.0%
Missing1
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean35
Minimum10
Maximum65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:32.526263image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile13.5
Q127.5
median30
Q346.25
95-th percentile59.75
Maximum65
Range55
Interquartile range (IQR)18.75

Descriptive statistics

Standard deviation17.52549164
Coefficient of variation (CV)0.5007283325
Kurtosis-0.1253109789
Mean35
Median Absolute Deviation (MAD)12.5
Skewness0.4246306249
Sum280
Variance307.1428571
MonotonicityNot monotonic
2025-02-26T17:46:32.562800image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
30.0 3
33.3%
50.0 1
 
11.1%
65.0 1
 
11.1%
20.0 1
 
11.1%
45.0 1
 
11.1%
10.0 1
 
11.1%
(Missing) 1
 
11.1%
ValueCountFrequency (%)
10.0 1
 
11.1%
20.0 1
 
11.1%
30.0 3
33.3%
45.0 1
 
11.1%
50.0 1
 
11.1%
ValueCountFrequency (%)
65.0 1
 
11.1%
50.0 1
 
11.1%
45.0 1
 
11.1%
30.0 3
33.3%
20.0 1
 
11.1%

w2_A06_2
Real number (ℝ)

Missing 

All in all, what is your commute time and distance from your accommodation to university department? Distance in Km ________ (Note: use decimals to indicate meters. For example, enter 0.800 if you travel 800 meter or write in 2.5 if you travel two and a half kilometres.)

Distinct6
Distinct (%)85.7%
Missing2
Missing (%)22.2%
Infinite0
Infinite (%)0.0%
Mean8.285714286
Minimum2
Maximum15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:32.600250image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2.3
Q14
median9
Q312
95-th percentile14.1
Maximum15
Range13
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.023753103
Coefficient of variation (CV)0.6063150297
Kurtosis-1.830954788
Mean8.285714286
Median Absolute Deviation (MAD)4
Skewness-0.04777304837
Sum58
Variance25.23809524
MonotonicityNot monotonic
2025-02-26T17:46:32.639773image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
12.0 2
22.2%
15.0 1
11.1%
5.0 1
11.1%
9.0 1
11.1%
2.0 1
11.1%
3.0 1
11.1%
(Missing) 2
22.2%
ValueCountFrequency (%)
2.0 1
11.1%
3.0 1
11.1%
5.0 1
11.1%
9.0 1
11.1%
12.0 2
22.2%
ValueCountFrequency (%)
15.0 1
11.1%
12.0 2
22.2%
9.0 1
11.1%
5.0 1
11.1%
3.0 1
11.1%

w2_A07
Real number (ℝ)

Missing 

Have you been in paid employment in the last year or so? 1. Yes 2. No

Distinct2
Distinct (%)25.0%
Missing1
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean1.25
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:32.678353image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31.25
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0.25

Descriptive statistics

Standard deviation0.4629100499
Coefficient of variation (CV)0.3703280399
Kurtosis0
Mean1.25
Median Absolute Deviation (MAD)0
Skewness1.4401646
Sum10
Variance0.2142857143
MonotonicityDecreasing
2025-02-26T17:46:32.716581image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 6
66.7%
2 2
 
22.2%
(Missing) 1
 
11.1%
ValueCountFrequency (%)
1 6
66.7%
2 2
 
22.2%
ValueCountFrequency (%)
2 2
 
22.2%
1 6
66.7%

w2_A08
Real number (ℝ)

Missing 

Do you currently do any work, including occasional work? 1. Yes 2. No

Distinct2
Distinct (%)25.0%
Missing1
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean1.25
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:32.753508image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31.25
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0.25

Descriptive statistics

Standard deviation0.4629100499
Coefficient of variation (CV)0.3703280399
Kurtosis0
Mean1.25
Median Absolute Deviation (MAD)0
Skewness1.4401646
Sum10
Variance0.2142857143
MonotonicityDecreasing
2025-02-26T17:46:32.792494image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 6
66.7%
2 2
 
22.2%
(Missing) 1
 
11.1%
ValueCountFrequency (%)
1 6
66.7%
2 2
 
22.2%
ValueCountFrequency (%)
2 2
 
22.2%
1 6
66.7%

w2_B01_1
Real number (ℝ)

Missing 

Do you have a car driver’s license? 1. Yes, 2. No

Distinct2
Distinct (%)25.0%
Missing1
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean1.375
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:32.829910image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5175491695
Coefficient of variation (CV)0.376399396
Kurtosis-2.24
Mean1.375
Median Absolute Deviation (MAD)0
Skewness0.6440611887
Sum11
Variance0.2678571429
MonotonicityNot monotonic
2025-02-26T17:46:32.868139image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 5
55.6%
2 3
33.3%
(Missing) 1
 
11.1%
ValueCountFrequency (%)
1 5
55.6%
2 3
33.3%
ValueCountFrequency (%)
2 3
33.3%
1 5
55.6%

w2_B01_2
Real number (ℝ)

Constant  Missing 

Do you have a motorbike driver’s license? 1. Yes, 2. No

Distinct1
Distinct (%)14.3%
Missing2
Missing (%)22.2%
Infinite0
Infinite (%)0.0%
Mean2
Minimum2
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:32.903558image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q12
median2
Q32
95-th percentile2
Maximum2
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean2
Median Absolute Deviation (MAD)0
Skewness0
Sum14
Variance0
MonotonicityIncreasing
2025-02-26T17:46:32.939516image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
2 7
77.8%
(Missing) 2
 
22.2%
ValueCountFrequency (%)
2 7
77.8%
ValueCountFrequency (%)
2 7
77.8%

w2_B01_3
Real number (ℝ)

Missing 

Do you have a bike of your own? 1. Yes, 2. No

Distinct2
Distinct (%)28.6%
Missing2
Missing (%)22.2%
Infinite0
Infinite (%)0.0%
Mean1.857142857
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:32.976336image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.3
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.377964473
Coefficient of variation (CV)0.2035193316
Kurtosis7
Mean1.857142857
Median Absolute Deviation (MAD)0
Skewness-2.645751311
Sum13
Variance0.1428571429
MonotonicityDecreasing
2025-02-26T17:46:33.014397image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 6
66.7%
1 1
 
11.1%
(Missing) 2
 
22.2%
ValueCountFrequency (%)
1 1
 
11.1%
2 6
66.7%
ValueCountFrequency (%)
2 6
66.7%
1 1
 
11.1%

w2_B01_4
Real number (ℝ)

Missing 

Do you have a car of your own? 1. Yes, 2. No

Distinct2
Distinct (%)25.0%
Missing1
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean1.75
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:33.051253image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11.75
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0.25

Descriptive statistics

Standard deviation0.4629100499
Coefficient of variation (CV)0.2645200285
Kurtosis0
Mean1.75
Median Absolute Deviation (MAD)0
Skewness-1.4401646
Sum14
Variance0.2142857143
MonotonicityNot monotonic
2025-02-26T17:46:33.090163image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 6
66.7%
1 2
 
22.2%
(Missing) 1
 
11.1%
ValueCountFrequency (%)
1 2
 
22.2%
2 6
66.7%
ValueCountFrequency (%)
2 6
66.7%
1 2
 
22.2%

w2_B01_5
Real number (ℝ)

Constant  Missing 

Do you have a motorbike of your own? 1. Yes, 2. No

Distinct1
Distinct (%)14.3%
Missing2
Missing (%)22.2%
Infinite0
Infinite (%)0.0%
Mean2
Minimum2
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:33.125924image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q12
median2
Q32
95-th percentile2
Maximum2
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean2
Median Absolute Deviation (MAD)0
Skewness0
Sum14
Variance0
MonotonicityIncreasing
2025-02-26T17:46:33.162739image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
2 7
77.8%
(Missing) 2
 
22.2%
ValueCountFrequency (%)
2 7
77.8%
ValueCountFrequency (%)
2 7
77.8%

w2_B01_6
Real number (ℝ)

Missing 

Do you have access to a car whenever you want? 1. Yes, 2. No

Distinct2
Distinct (%)25.0%
Missing1
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean1.625
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:33.198733image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5175491695
Coefficient of variation (CV)0.3184917966
Kurtosis-2.24
Mean1.625
Median Absolute Deviation (MAD)0
Skewness-0.6440611887
Sum13
Variance0.2678571429
MonotonicityNot monotonic
2025-02-26T17:46:33.236303image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 5
55.6%
1 3
33.3%
(Missing) 1
 
11.1%
ValueCountFrequency (%)
1 3
33.3%
2 5
55.6%
ValueCountFrequency (%)
2 5
55.6%
1 3
33.3%

w2_B01_7
Real number (ℝ)

Constant  Missing 

Do you have access to a motorbike whenever you want? 1. Yes, 2. No

Distinct1
Distinct (%)14.3%
Missing2
Missing (%)22.2%
Infinite0
Infinite (%)0.0%
Mean2
Minimum2
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:33.272403image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q12
median2
Q32
95-th percentile2
Maximum2
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean2
Median Absolute Deviation (MAD)0
Skewness0
Sum14
Variance0
MonotonicityIncreasing
2025-02-26T17:46:33.308307image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
2 7
77.8%
(Missing) 2
 
22.2%
ValueCountFrequency (%)
2 7
77.8%
ValueCountFrequency (%)
2 7
77.8%

w2_B02_1
Boolean

Missing 

What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Walking

Distinct2
Distinct (%)25.0%
Missing1
Missing (%)11.1%
Memory size150.0 B
True
False
(Missing)
ValueCountFrequency (%)
True 5
55.6%
False 3
33.3%
(Missing) 1
 
11.1%
2025-02-26T17:46:33.363302image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_B02_2
Boolean

Missing 

What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Cycling

Distinct2
Distinct (%)25.0%
Missing1
Missing (%)11.1%
Memory size150.0 B
False
True
(Missing)
ValueCountFrequency (%)
False 7
77.8%
True 1
 
11.1%
(Missing) 1
 
11.1%
2025-02-26T17:46:33.404318image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_B02_3
Boolean

Missing 

What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Car (Filter: go to question

Distinct2
Distinct (%)25.0%
Missing1
Missing (%)11.1%
Memory size150.0 B
True
False
(Missing)
ValueCountFrequency (%)
True 4
44.4%
False 4
44.4%
(Missing) 1
 
11.1%
2025-02-26T17:46:33.442634image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_B02_4
Boolean

Missing 

What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Car-sharing (with friends/relative etc.)

Distinct2
Distinct (%)25.0%
Missing1
Missing (%)11.1%
Memory size150.0 B
False
True
(Missing)
ValueCountFrequency (%)
False 7
77.8%
True 1
 
11.1%
(Missing) 1
 
11.1%
2025-02-26T17:46:33.481116image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_B02_5
Boolean

Constant  Missing 

What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Motorbike

Distinct1
Distinct (%)12.5%
Missing1
Missing (%)11.1%
Memory size150.0 B
False
(Missing)
ValueCountFrequency (%)
False 8
88.9%
(Missing) 1
 
11.1%
2025-02-26T17:46:33.515847image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_B02_6
Boolean

Missing 

What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: City bus/suburban bus/Tube (Public Transport)

Distinct2
Distinct (%)25.0%
Missing1
Missing (%)11.1%
Memory size150.0 B
True
False
(Missing)
ValueCountFrequency (%)
True 5
55.6%
False 3
33.3%
(Missing) 1
 
11.1%
2025-02-26T17:46:33.549081image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_B02_7
Boolean

Constant  Missing 

What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Train

Distinct1
Distinct (%)12.5%
Missing1
Missing (%)11.1%
Memory size150.0 B
False
(Missing)
ValueCountFrequency (%)
False 8
88.9%
(Missing) 1
 
11.1%
2025-02-26T17:46:33.584488image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_B02_8
Boolean

Constant  Missing 

What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Electric scooters

Distinct1
Distinct (%)12.5%
Missing1
Missing (%)11.1%
Memory size150.0 B
False
(Missing)
ValueCountFrequency (%)
False 8
88.9%
(Missing) 1
 
11.1%
2025-02-26T17:46:33.616225image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_B03
Real number (ℝ)

Missing 

How often do you use public transport in the weekday? 1. Never 2. Less than once a week 3. Once a week 4. Once or twice a week 5. Most days 6. Everyday

Distinct3
Distinct (%)37.5%
Missing1
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean3.625
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:33.648597image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13.25
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1.75

Descriptive statistics

Standard deviation1.685018016
Coefficient of variation (CV)0.4648325561
Kurtosis-0.4027055892
Mean3.625
Median Absolute Deviation (MAD)1
Skewness-1.123478647
Sum29
Variance2.839285714
MonotonicityNot monotonic
2025-02-26T17:46:33.688712image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
5 3
33.3%
4 3
33.3%
1 2
22.2%
(Missing) 1
 
11.1%
ValueCountFrequency (%)
1 2
22.2%
4 3
33.3%
5 3
33.3%
ValueCountFrequency (%)
5 3
33.3%
4 3
33.3%
1 2
22.2%

w2_C01
Real number (ℝ)

Missing 

Would you say you know how to cook? 1. Yes, I know how to cook. 2. Yes, but only basic things. 3. No, I do not know how to cook. [go to D01]

Distinct3
Distinct (%)37.5%
Missing1
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean1.75
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:33.728642image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1.5
Q32.25
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1.25

Descriptive statistics

Standard deviation0.8864052604
Coefficient of variation (CV)0.5065172917
Kurtosis-1.480991736
Mean1.75
Median Absolute Deviation (MAD)0.5
Skewness0.615355718
Sum14
Variance0.7857142857
MonotonicityNot monotonic
2025-02-26T17:46:33.769078image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 4
44.4%
3 2
22.2%
2 2
22.2%
(Missing) 1
 
11.1%
ValueCountFrequency (%)
1 4
44.4%
2 2
22.2%
3 2
22.2%
ValueCountFrequency (%)
3 2
22.2%
2 2
22.2%
1 4
44.4%

w2_C02
Real number (ℝ)

Constant  Missing 

Is there a kitchen in your accommodation that you can use? 1. Yes, there is a kitchen that I can regularly use. 2. Yes, there is one but I don’t have regular access to it. 3. No, there is no kitchen.

Distinct1
Distinct (%)50.0%
Missing7
Missing (%)77.8%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:33.807906image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis
Mean1
Median Absolute Deviation (MAD)0
Skewness
Sum2
Variance0
MonotonicityIncreasing
2025-02-26T17:46:33.843427image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1 2
 
22.2%
(Missing) 7
77.8%
ValueCountFrequency (%)
1 2
22.2%
ValueCountFrequency (%)
1 2
22.2%

w2_C03_1
Real number (ℝ)

Missing 

How good you are at each of the following tasks: baking cakes, cupcakes, cookies, bread from raw ingredients. 1. Very poor, 2, 3, 4, 5, 6, 7. Very good, 99. Don’t Know/Can’t say

Distinct4
Distinct (%)66.7%
Missing3
Missing (%)33.3%
Infinite0
Infinite (%)0.0%
Mean2.666666667
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:33.877774image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33.75
95-th percentile5.5
Maximum6
Range5
Interquartile range (IQR)2.75

Descriptive statistics

Standard deviation2.065591118
Coefficient of variation (CV)0.7745966692
Kurtosis-0.4907226562
Mean2.666666667
Median Absolute Deviation (MAD)1
Skewness0.8699083688
Sum16
Variance4.266666667
MonotonicityNot monotonic
2025-02-26T17:46:33.915975image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 3
33.3%
3 1
 
11.1%
6 1
 
11.1%
4 1
 
11.1%
(Missing) 3
33.3%
ValueCountFrequency (%)
1 3
33.3%
3 1
 
11.1%
4 1
 
11.1%
6 1
 
11.1%
ValueCountFrequency (%)
6 1
 
11.1%
4 1
 
11.1%
3 1
 
11.1%
1 3
33.3%

w2_C03_2
Real number (ℝ)

Missing 

How good you are at each of the following tasks: peeling and chopping raw vegetables (including potatoes, carrots, onions, broccoli). 1. Very poor, 2, 3, 4, 5, 6, 7. Very good, 99. Don’t Know/Can’t say

Distinct2
Distinct (%)33.3%
Missing3
Missing (%)33.3%
Infinite0
Infinite (%)0.0%
Mean6
Minimum4
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:33.951444image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile4
Q14.75
median7
Q37
95-th percentile7
Maximum7
Range3
Interquartile range (IQR)2.25

Descriptive statistics

Standard deviation1.549193338
Coefficient of variation (CV)0.2581988897
Kurtosis-1.875
Mean6
Median Absolute Deviation (MAD)0
Skewness-0.9682458366
Sum36
Variance2.4
MonotonicityNot monotonic
2025-02-26T17:46:33.986657image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
7 4
44.4%
4 2
22.2%
(Missing) 3
33.3%
ValueCountFrequency (%)
4 2
22.2%
7 4
44.4%
ValueCountFrequency (%)
7 4
44.4%
4 2
22.2%

w2_C03_3
Real number (ℝ)

Missing 

How good you are at each of the following tasks: preparing and cooking raw meat (red meat and poultry). 1. Very poor, 2, 3, 4, 5, 6, 7. Very good, 99. Don’t Know/Can’t say

Distinct3
Distinct (%)50.0%
Missing3
Missing (%)33.3%
Infinite0
Infinite (%)0.0%
Mean6.333333333
Minimum4
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:34.021703image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile4.5
Q16.25
median7
Q37
95-th percentile7
Maximum7
Range3
Interquartile range (IQR)0.75

Descriptive statistics

Standard deviation1.211060142
Coefficient of variation (CV)0.1912200224
Kurtosis3.657024793
Mean6.333333333
Median Absolute Deviation (MAD)0
Skewness-1.951708493
Sum38
Variance1.466666667
MonotonicityNot monotonic
2025-02-26T17:46:34.120811image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
7 4
44.4%
6 1
 
11.1%
4 1
 
11.1%
(Missing) 3
33.3%
ValueCountFrequency (%)
4 1
 
11.1%
6 1
 
11.1%
7 4
44.4%
ValueCountFrequency (%)
7 4
44.4%
6 1
 
11.1%
4 1
 
11.1%

w2_C03_4
Real number (ℝ)

Missing 

How good you are at each of the following tasks: preparing and cooking raw fish. 1. Very poor, 2, 3, 4, 5, 6, 7. Very good, 99. Don’t Know/Can’t say

Distinct4
Distinct (%)66.7%
Missing3
Missing (%)33.3%
Infinite0
Infinite (%)0.0%
Mean5.166666667
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:34.155535image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.75
Q14.5
median6
Q36.75
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)2.25

Descriptive statistics

Standard deviation2.316606714
Coefficient of variation (CV)0.448375493
Kurtosis1.693221712
Mean5.166666667
Median Absolute Deviation (MAD)1
Skewness-1.458547956
Sum31
Variance5.366666667
MonotonicityNot monotonic
2025-02-26T17:46:34.190480image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
6 2
22.2%
7 2
22.2%
1 1
 
11.1%
4 1
 
11.1%
(Missing) 3
33.3%
ValueCountFrequency (%)
1 1
11.1%
4 1
11.1%
6 2
22.2%
7 2
22.2%
ValueCountFrequency (%)
7 2
22.2%
6 2
22.2%
4 1
11.1%
1 1
11.1%

w2_C03_5
Real number (ℝ)

Missing 

How good you are at each of the following tasks: following recipes when cooking. 1. Very poor, 2, 3, 4, 5, 6, 7. Very good, 99. Don’t Know/Can’t say

Distinct2
Distinct (%)33.3%
Missing3
Missing (%)33.3%
Infinite0
Infinite (%)0.0%
Mean6.5
Minimum4
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:34.224852image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile4.75
Q17
median7
Q37
95-th percentile7
Maximum7
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.224744871
Coefficient of variation (CV)0.1884222879
Kurtosis6
Mean6.5
Median Absolute Deviation (MAD)0
Skewness-2.449489743
Sum39
Variance1.5
MonotonicityNot monotonic
2025-02-26T17:46:34.260686image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
7 5
55.6%
4 1
 
11.1%
(Missing) 3
33.3%
ValueCountFrequency (%)
4 1
 
11.1%
7 5
55.6%
ValueCountFrequency (%)
7 5
55.6%
4 1
 
11.1%

w2_C04
Real number (ℝ)

Missing 

How often do you cook a main meal? 1. Daily 2. Several times a week 3. Once a week 4. Less than once a week 5. Never

Distinct3
Distinct (%)50.0%
Missing3
Missing (%)33.3%
Infinite0
Infinite (%)0.0%
Mean2.333333333
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:34.296779image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33.75
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)2.75

Descriptive statistics

Standard deviation1.505545305
Coefficient of variation (CV)0.6452337023
Kurtosis-2.828719723
Mean2.333333333
Median Absolute Deviation (MAD)1
Skewness0.2148918472
Sum14
Variance2.266666667
MonotonicityNot monotonic
2025-02-26T17:46:34.333331image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 3
33.3%
4 2
22.2%
3 1
 
11.1%
(Missing) 3
33.3%
ValueCountFrequency (%)
1 3
33.3%
3 1
 
11.1%
4 2
22.2%
ValueCountFrequency (%)
4 2
22.2%
3 1
 
11.1%
1 3
33.3%

w2_C05_1
Real number (ℝ)

Missing 

Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: Cooking makes me happy.

Distinct5
Distinct (%)83.3%
Missing3
Missing (%)33.3%
Infinite0
Infinite (%)0.0%
Mean4.5
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:34.368563image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.75
Q14
median4.5
Q35.75
95-th percentile6.75
Maximum7
Range6
Interquartile range (IQR)1.75

Descriptive statistics

Standard deviation2.073644135
Coefficient of variation (CV)0.4608098079
Kurtosis1.108707409
Mean4.5
Median Absolute Deviation (MAD)1
Skewness-0.8074763534
Sum27
Variance4.3
MonotonicityNot monotonic
2025-02-26T17:46:34.404650image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 2
22.2%
1 1
 
11.1%
5 1
 
11.1%
6 1
 
11.1%
7 1
 
11.1%
(Missing) 3
33.3%
ValueCountFrequency (%)
1 1
11.1%
4 2
22.2%
5 1
11.1%
6 1
11.1%
7 1
11.1%
ValueCountFrequency (%)
7 1
11.1%
6 1
11.1%
5 1
11.1%
4 2
22.2%
1 1
11.1%

w2_C05_2
Real number (ℝ)

Missing 

Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: Cooking is time consuming.

Distinct4
Distinct (%)66.7%
Missing3
Missing (%)33.3%
Infinite0
Infinite (%)0.0%
Mean5.666666667
Minimum2
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:34.441172image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2.75
Q15.25
median6.5
Q37
95-th percentile7
Maximum7
Range5
Interquartile range (IQR)1.75

Descriptive statistics

Standard deviation1.966384161
Coefficient of variation (CV)0.3470089695
Kurtosis2.66646849
Mean5.666666667
Median Absolute Deviation (MAD)0.5
Skewness-1.674699946
Sum34
Variance3.866666667
MonotonicityNot monotonic
2025-02-26T17:46:34.478419image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
7 3
33.3%
2 1
 
11.1%
5 1
 
11.1%
6 1
 
11.1%
(Missing) 3
33.3%
ValueCountFrequency (%)
2 1
 
11.1%
5 1
 
11.1%
6 1
 
11.1%
7 3
33.3%
ValueCountFrequency (%)
7 3
33.3%
6 1
 
11.1%
5 1
 
11.1%
2 1
 
11.1%

w2_C05_3
Real number (ℝ)

Missing 

Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: I am good at cooking.

Distinct4
Distinct (%)66.7%
Missing3
Missing (%)33.3%
Infinite0
Infinite (%)0.0%
Mean4.666666667
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:34.511638image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.25
Q13
median6
Q36
95-th percentile6.75
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.503331114
Coefficient of variation (CV)0.5364280959
Kurtosis-1.42937981
Mean4.666666667
Median Absolute Deviation (MAD)0.5
Skewness-0.9264251633
Sum28
Variance6.266666667
MonotonicityNot monotonic
2025-02-26T17:46:34.546417image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
6 3
33.3%
1 1
 
11.1%
2 1
 
11.1%
7 1
 
11.1%
(Missing) 3
33.3%
ValueCountFrequency (%)
1 1
 
11.1%
2 1
 
11.1%
6 3
33.3%
7 1
 
11.1%
ValueCountFrequency (%)
7 1
 
11.1%
6 3
33.3%
2 1
 
11.1%
1 1
 
11.1%

w2_C05_4
Real number (ℝ)

Missing 

Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: Cooking is costly

Distinct4
Distinct (%)66.7%
Missing3
Missing (%)33.3%
Infinite0
Infinite (%)0.0%
Mean5.666666667
Minimum3
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:34.583628image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3.25
Q14.5
median6.5
Q37
95-th percentile7
Maximum7
Range4
Interquartile range (IQR)2.5

Descriptive statistics

Standard deviation1.751190072
Coefficient of variation (CV)0.309033542
Kurtosis-1.20510397
Mean5.666666667
Median Absolute Deviation (MAD)0.5
Skewness-0.9186299525
Sum34
Variance3.066666667
MonotonicityNot monotonic
2025-02-26T17:46:34.623238image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
7 3
33.3%
3 1
 
11.1%
4 1
 
11.1%
6 1
 
11.1%
(Missing) 3
33.3%
ValueCountFrequency (%)
3 1
 
11.1%
4 1
 
11.1%
6 1
 
11.1%
7 3
33.3%
ValueCountFrequency (%)
7 3
33.3%
6 1
 
11.1%
4 1
 
11.1%
3 1
 
11.1%

w2_C05_5
Real number (ℝ)

Missing 

Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: Cooking helps me eat healthy.

Distinct4
Distinct (%)66.7%
Missing3
Missing (%)33.3%
Infinite0
Infinite (%)0.0%
Mean5
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:34.660806image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.75
Q14.5
median6
Q36
95-th percentile6.75
Maximum7
Range6
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation2.19089023
Coefficient of variation (CV)0.438178046
Kurtosis2.135416667
Mean5
Median Absolute Deviation (MAD)0.5
Skewness-1.540469693
Sum30
Variance4.8
MonotonicityNot monotonic
2025-02-26T17:46:34.695478image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
6 3
33.3%
1 1
 
11.1%
4 1
 
11.1%
7 1
 
11.1%
(Missing) 3
33.3%
ValueCountFrequency (%)
1 1
 
11.1%
4 1
 
11.1%
6 3
33.3%
7 1
 
11.1%
ValueCountFrequency (%)
7 1
 
11.1%
6 3
33.3%
4 1
 
11.1%
1 1
 
11.1%

w2_C05_6
Real number (ℝ)

Missing 

Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: Cooking is difficult.

Distinct4
Distinct (%)66.7%
Missing3
Missing (%)33.3%
Infinite0
Infinite (%)0.0%
Mean3.666666667
Minimum2
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:34.731776image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2.25
Q13
median3
Q34.5
95-th percentile5.75
Maximum6
Range4
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation1.505545305
Coefficient of variation (CV)0.4106032651
Kurtosis-0.6487889273
Mean3.666666667
Median Absolute Deviation (MAD)0.5
Skewness0.8400317664
Sum22
Variance2.266666667
MonotonicityNot monotonic
2025-02-26T17:46:34.773354image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
3 3
33.3%
5 1
 
11.1%
2 1
 
11.1%
6 1
 
11.1%
(Missing) 3
33.3%
ValueCountFrequency (%)
2 1
 
11.1%
3 3
33.3%
5 1
 
11.1%
6 1
 
11.1%
ValueCountFrequency (%)
6 1
 
11.1%
5 1
 
11.1%
3 3
33.3%
2 1
 
11.1%

w2_C05_7
Real number (ℝ)

Missing 

Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: Cooking is important to me.

Distinct6
Distinct (%)100.0%
Missing3
Missing (%)33.3%
Infinite0
Infinite (%)0.0%
Mean4.333333333
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:34.811418image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.5
Q13.25
median4.5
Q35.75
95-th percentile6.75
Maximum7
Range6
Interquartile range (IQR)2.5

Descriptive statistics

Standard deviation2.160246899
Coefficient of variation (CV)0.4985185153
Kurtosis-0.3
Mean4.333333333
Median Absolute Deviation (MAD)1.5
Skewness-0.4629100499
Sum26
Variance4.666666667
MonotonicityNot monotonic
2025-02-26T17:46:34.847848image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
7 1
 
11.1%
1 1
 
11.1%
5 1
 
11.1%
3 1
 
11.1%
4 1
 
11.1%
6 1
 
11.1%
(Missing) 3
33.3%
ValueCountFrequency (%)
1 1
11.1%
3 1
11.1%
4 1
11.1%
5 1
11.1%
6 1
11.1%
ValueCountFrequency (%)
7 1
11.1%
6 1
11.1%
5 1
11.1%
4 1
11.1%
3 1
11.1%

w2_C05_8
Real number (ℝ)

Missing 

Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: Cooking is just a chore I have to do.

Distinct4
Distinct (%)66.7%
Missing3
Missing (%)33.3%
Infinite0
Infinite (%)0.0%
Mean4.333333333
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:34.882868image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.75
Q14
median4.5
Q35
95-th percentile6.5
Maximum7
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.966384161
Coefficient of variation (CV)0.4537809601
Kurtosis1.917360285
Mean4.333333333
Median Absolute Deviation (MAD)0.5
Skewness-0.6926769412
Sum26
Variance3.866666667
MonotonicityNot monotonic
2025-02-26T17:46:34.917519image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
5 2
22.2%
4 2
22.2%
7 1
 
11.1%
1 1
 
11.1%
(Missing) 3
33.3%
ValueCountFrequency (%)
1 1
11.1%
4 2
22.2%
5 2
22.2%
7 1
11.1%
ValueCountFrequency (%)
7 1
11.1%
5 2
22.2%
4 2
22.2%
1 1
11.1%

w2_C05_9
Real number (ℝ)

Missing 

Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: When cooking, I like to try new recipes.

Distinct5
Distinct (%)83.3%
Missing3
Missing (%)33.3%
Infinite0
Infinite (%)0.0%
Mean4.666666667
Minimum2
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:34.954498image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2.5
Q14
median4.5
Q35.75
95-th percentile6.75
Maximum7
Range5
Interquartile range (IQR)1.75

Descriptive statistics

Standard deviation1.751190072
Coefficient of variation (CV)0.3752550153
Kurtosis-0.01417769376
Mean4.666666667
Median Absolute Deviation (MAD)1
Skewness-0.2482783655
Sum28
Variance3.066666667
MonotonicityNot monotonic
2025-02-26T17:46:34.991887image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 2
22.2%
5 1
 
11.1%
7 1
 
11.1%
6 1
 
11.1%
2 1
 
11.1%
(Missing) 3
33.3%
ValueCountFrequency (%)
2 1
11.1%
4 2
22.2%
5 1
11.1%
6 1
11.1%
7 1
11.1%
ValueCountFrequency (%)
7 1
11.1%
6 1
11.1%
5 1
11.1%
4 2
22.2%
2 1
11.1%

w2_C06_1
Boolean

Missing 

When looking for ideas or inspiration about cooking, what are you most likely to do? (Multiple choice) Answer: Turn to your family for tips

Distinct2
Distinct (%)33.3%
Missing3
Missing (%)33.3%
Memory size150.0 B
True
False
(Missing)
ValueCountFrequency (%)
True 3
33.3%
False 3
33.3%
(Missing) 3
33.3%
2025-02-26T17:46:35.028085image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_C06_2
Boolean

Missing 

When looking for ideas or inspiration about cooking, what are you most likely to do? (Multiple choice) Answer: Look online for recipes

Distinct2
Distinct (%)33.3%
Missing3
Missing (%)33.3%
Memory size150.0 B
True
False
(Missing)
ValueCountFrequency (%)
True 5
55.6%
False 1
 
11.1%
(Missing) 3
33.3%
2025-02-26T17:46:35.060374image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_C06_3
Boolean

Constant  Missing 

When looking for ideas or inspiration about cooking, what are you most likely to do? (Multiple choice) Answer: Look in cookbooks/magazines

Distinct1
Distinct (%)16.7%
Missing3
Missing (%)33.3%
Memory size150.0 B
False
(Missing)
ValueCountFrequency (%)
False 6
66.7%
(Missing) 3
33.3%
2025-02-26T17:46:35.091320image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_C06_4
Boolean

Missing 

When looking for ideas or inspiration about cooking, what are you most likely to do? (Multiple choice) Answer: Use recipe apps

Distinct2
Distinct (%)33.3%
Missing3
Missing (%)33.3%
Memory size150.0 B
False
True
(Missing)
ValueCountFrequency (%)
False 5
55.6%
True 1
 
11.1%
(Missing) 3
33.3%
2025-02-26T17:46:35.122104image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_C06_5
Boolean

Missing 

When looking for ideas or inspiration about cooking, what are you most likely to do? (Multiple choice) Answer: Watch cooking shows online or on TV

Distinct2
Distinct (%)33.3%
Missing3
Missing (%)33.3%
Memory size150.0 B
False
True
(Missing)
ValueCountFrequency (%)
False 5
55.6%
True 1
 
11.1%
(Missing) 3
33.3%
2025-02-26T17:46:35.154561image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_C06_6
Boolean

Constant  Missing 

When looking for ideas or inspiration about cooking, what are you most likely to do? (Multiple choice) Answer: Ask friends for ideas

Distinct1
Distinct (%)16.7%
Missing3
Missing (%)33.3%
Memory size150.0 B
False
(Missing)
ValueCountFrequency (%)
False 6
66.7%
(Missing) 3
33.3%
2025-02-26T17:46:35.185433image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_C07_1
Boolean

Missing 

Let us talk about your diet. Which of the following applies to you? (Multiple choice). Answer: I don’t follow a specific diet

Distinct2
Distinct (%)33.3%
Missing3
Missing (%)33.3%
Memory size150.0 B
True
False
(Missing)
ValueCountFrequency (%)
True 4
44.4%
False 2
22.2%
(Missing) 3
33.3%
2025-02-26T17:46:35.216275image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_C07_2
Boolean

Constant  Missing 

Let us talk about your diet. Which of the following applies to you? (Multiple choice). Answer: I follow a vegetarian or vegan diet

Distinct1
Distinct (%)16.7%
Missing3
Missing (%)33.3%
Memory size150.0 B
False
(Missing)
ValueCountFrequency (%)
False 6
66.7%
(Missing) 3
33.3%
2025-02-26T17:46:35.247139image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_C07_3
Boolean

Constant  Missing 

Let us talk about your diet. Which of the following applies to you? (Multiple choice). Answer: I avoid certain foods for religious or cultural reasons

Distinct1
Distinct (%)16.7%
Missing3
Missing (%)33.3%
Memory size150.0 B
False
(Missing)
ValueCountFrequency (%)
False 6
66.7%
(Missing) 3
33.3%
2025-02-26T17:46:35.275654image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_C07_4
Boolean

Constant  Missing 

Let us talk about your diet. Which of the following applies to you? (Multiple choice). Answer: I avoid or limit my intake of certain foods due to health problems (allergies, gluten intolerance, ...)

Distinct1
Distinct (%)16.7%
Missing3
Missing (%)33.3%
Memory size150.0 B
False
(Missing)
ValueCountFrequency (%)
False 6
66.7%
(Missing) 3
33.3%
2025-02-26T17:46:35.305183image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_C07_5
Boolean

Missing 

Let us talk about your diet. Which of the following applies to you? (Multiple choice). Answer: I have no health issues but follow a health-food diet rigidly

Distinct2
Distinct (%)33.3%
Missing3
Missing (%)33.3%
Memory size150.0 B
False
True
(Missing)
ValueCountFrequency (%)
False 5
55.6%
True 1
 
11.1%
(Missing) 3
33.3%
2025-02-26T17:46:35.336902image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_C07_6
Boolean

Missing 

Let us talk about your diet. Which of the following applies to you? (Multiple choice). Answer: I limit consumption of certain foods to lose/maintain weight

Distinct2
Distinct (%)33.3%
Missing3
Missing (%)33.3%
Memory size150.0 B
True
False
(Missing)
ValueCountFrequency (%)
True 3
33.3%
False 3
33.3%
(Missing) 3
33.3%
2025-02-26T17:46:35.370223image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_C07_7
Boolean

Missing 

Let us talk about your diet. Which of the following applies to you? (Multiple choice). Answer: I like to try new foods and tastes.

Distinct2
Distinct (%)33.3%
Missing3
Missing (%)33.3%
Memory size150.0 B
False
True
(Missing)
ValueCountFrequency (%)
False 3
33.3%
True 3
33.3%
(Missing) 3
33.3%
2025-02-26T17:46:35.402441image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_C08
Real number (ℝ)

Missing 

Which of the following statements best describes you? 1. For me, eating is a pleasure. 2. Eating for me is just a way not to feel hungry.

Distinct2
Distinct (%)33.3%
Missing3
Missing (%)33.3%
Infinite0
Infinite (%)0.0%
Mean1.166666667
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:35.435575image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1.75
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4082482905
Coefficient of variation (CV)0.3499271061
Kurtosis6
Mean1.166666667
Median Absolute Deviation (MAD)0
Skewness2.449489743
Sum7
Variance0.1666666667
MonotonicityNot monotonic
2025-02-26T17:46:35.474116image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 5
55.6%
2 1
 
11.1%
(Missing) 3
33.3%
ValueCountFrequency (%)
1 5
55.6%
2 1
 
11.1%
ValueCountFrequency (%)
2 1
 
11.1%
1 5
55.6%

w2_C09
Real number (ℝ)

Missing 

Last month, how often did you shop for food groceries? 1. Rarely/Never [go to C13] 2. Once every 2 weeks 3. Once a week 4. A few times per week 5. Everyday

Distinct3
Distinct (%)50.0%
Missing3
Missing (%)33.3%
Infinite0
Infinite (%)0.0%
Mean3.166666667
Minimum2
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:35.510109image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q12.25
median3.5
Q34
95-th percentile4
Maximum4
Range2
Interquartile range (IQR)1.75

Descriptive statistics

Standard deviation0.9831920803
Coefficient of variation (CV)0.3104817096
Kurtosis-2.390011891
Mean3.166666667
Median Absolute Deviation (MAD)0.5
Skewness-0.4559392524
Sum19
Variance0.9666666667
MonotonicityNot monotonic
2025-02-26T17:46:35.551193image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
4 3
33.3%
2 2
22.2%
3 1
 
11.1%
(Missing) 3
33.3%
ValueCountFrequency (%)
2 2
22.2%
3 1
 
11.1%
4 3
33.3%
ValueCountFrequency (%)
4 3
33.3%
3 1
 
11.1%
2 2
22.2%

w2_C10_1
Real number (ℝ)

Missing 

Last month, how often did you buy the types of food products and supplements: Organic. 1. Never, 2. Rarely, 3. Often, 4. Always

Distinct3
Distinct (%)50.0%
Missing3
Missing (%)33.3%
Infinite0
Infinite (%)0.0%
Mean2.833333333
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:35.591075image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11.5
median3.5
Q34
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)2.5

Descriptive statistics

Standard deviation1.471960144
Coefficient of variation (CV)0.5195153451
Kurtosis-2.052071006
Mean2.833333333
Median Absolute Deviation (MAD)0.5
Skewness-0.7107215845
Sum17
Variance2.166666667
MonotonicityNot monotonic
2025-02-26T17:46:35.626977image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
4 3
33.3%
1 2
22.2%
3 1
 
11.1%
(Missing) 3
33.3%
ValueCountFrequency (%)
1 2
22.2%
3 1
 
11.1%
4 3
33.3%
ValueCountFrequency (%)
4 3
33.3%
3 1
 
11.1%
1 2
22.2%

w2_C10_2
Real number (ℝ)

Missing 

Last month, how often did you buy the types of food products and supplements: Zero-mile. 1. Never, 2. Rarely, 3. Often, 4. Always

Distinct3
Distinct (%)50.0%
Missing3
Missing (%)33.3%
Infinite0
Infinite (%)0.0%
Mean1.666666667
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:35.664536image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1.5
Q32
95-th percentile2.75
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8164965809
Coefficient of variation (CV)0.4898979486
Kurtosis-0.3
Mean1.666666667
Median Absolute Deviation (MAD)0.5
Skewness0.85732141
Sum10
Variance0.6666666667
MonotonicityNot monotonic
2025-02-26T17:46:35.705534image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 3
33.3%
2 2
22.2%
3 1
 
11.1%
(Missing) 3
33.3%
ValueCountFrequency (%)
1 3
33.3%
2 2
22.2%
3 1
 
11.1%
ValueCountFrequency (%)
3 1
 
11.1%
2 2
22.2%
1 3
33.3%

w2_C10_3
Real number (ℝ)

Constant  Missing 

Last month, how often did you buy the types of food products and supplements: Weight-loss pills, teas and products - slim fast, weight watchers, meal replacements. 1. Never, 2. Rarely, 3. Often, 4. Always

Distinct1
Distinct (%)16.7%
Missing3
Missing (%)33.3%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:35.745258image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum6
Variance0
MonotonicityIncreasing
2025-02-26T17:46:35.781455image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1 6
66.7%
(Missing) 3
33.3%
ValueCountFrequency (%)
1 6
66.7%
ValueCountFrequency (%)
1 6
66.7%

w2_C10_4
Real number (ℝ)

Missing 

Last month, how often did you buy the types of food products and supplements: Dietary supplements - vitamins, iron, potassium... 1. Never, 2. Rarely, 3. Often, 4. Always

Distinct2
Distinct (%)33.3%
Missing3
Missing (%)33.3%
Infinite0
Infinite (%)0.0%
Mean1.5
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:35.814890image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3.25
Maximum4
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.224744871
Coefficient of variation (CV)0.8164965809
Kurtosis6
Mean1.5
Median Absolute Deviation (MAD)0
Skewness2.449489743
Sum9
Variance1.5
MonotonicityIncreasing
2025-02-26T17:46:35.850851image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 5
55.6%
4 1
 
11.1%
(Missing) 3
33.3%
ValueCountFrequency (%)
1 5
55.6%
4 1
 
11.1%
ValueCountFrequency (%)
4 1
 
11.1%
1 5
55.6%

w2_C10_5
Real number (ℝ)

Missing 

Last month, how often did you buy the types of food products and supplements: Frozen items. 1. Never, 2. Rarely, 3. Often, 4. Always

Distinct3
Distinct (%)50.0%
Missing3
Missing (%)33.3%
Infinite0
Infinite (%)0.0%
Mean1.666666667
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:35.889138image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1.5
Q32
95-th percentile2.75
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8164965809
Coefficient of variation (CV)0.4898979486
Kurtosis-0.3
Mean1.666666667
Median Absolute Deviation (MAD)0.5
Skewness0.85732141
Sum10
Variance0.6666666667
MonotonicityNot monotonic
2025-02-26T17:46:35.929968image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 3
33.3%
2 2
22.2%
3 1
 
11.1%
(Missing) 3
33.3%
ValueCountFrequency (%)
1 3
33.3%
2 2
22.2%
3 1
 
11.1%
ValueCountFrequency (%)
3 1
 
11.1%
2 2
22.2%
1 3
33.3%

w2_C10_6
Real number (ℝ)

Missing 

Last month, how often did you buy the types of food products and supplements: Allergen-free products - gluten free, lactose free. 1. Never, 2. Rarely, 3. Often, 4. Always

Distinct2
Distinct (%)33.3%
Missing3
Missing (%)33.3%
Infinite0
Infinite (%)0.0%
Mean1.166666667
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:35.971382image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1.75
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4082482905
Coefficient of variation (CV)0.3499271061
Kurtosis6
Mean1.166666667
Median Absolute Deviation (MAD)0
Skewness2.449489743
Sum7
Variance0.1666666667
MonotonicityDecreasing
2025-02-26T17:46:36.008903image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 5
55.6%
2 1
 
11.1%
(Missing) 3
33.3%
ValueCountFrequency (%)
1 5
55.6%
2 1
 
11.1%
ValueCountFrequency (%)
2 1
 
11.1%
1 5
55.6%

w2_C10_7
Real number (ℝ)

Missing 

Last month, how often did you buy the types of food products and supplements: Ready meals - to be just heated or defrosted in microwave/oven. 1. Never, 2. Rarely, 3. Often, 4. Always

Distinct2
Distinct (%)33.3%
Missing3
Missing (%)33.3%
Infinite0
Infinite (%)0.0%
Mean1.166666667
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:36.045357image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1.75
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4082482905
Coefficient of variation (CV)0.3499271061
Kurtosis6
Mean1.166666667
Median Absolute Deviation (MAD)0
Skewness2.449489743
Sum7
Variance0.1666666667
MonotonicityDecreasing
2025-02-26T17:46:36.083705image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 5
55.6%
2 1
 
11.1%
(Missing) 3
33.3%
ValueCountFrequency (%)
1 5
55.6%
2 1
 
11.1%
ValueCountFrequency (%)
2 1
 
11.1%
1 5
55.6%

w2_C11
Real number (ℝ)

Missing 

How much time do you spend shopping for your food groceries? Do not include the time to get to and from the store. 1. Little time, I shop as quickly as possible. 2. Time enough to find all I need. 3. More time than the strictly necessary.

Distinct3
Distinct (%)50.0%
Missing3
Missing (%)33.3%
Infinite0
Infinite (%)0.0%
Mean1.833333333
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:36.120077image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11.25
median2
Q32
95-th percentile2.75
Maximum3
Range2
Interquartile range (IQR)0.75

Descriptive statistics

Standard deviation0.7527726527
Coefficient of variation (CV)0.4106032651
Kurtosis-0.1038062284
Mean1.833333333
Median Absolute Deviation (MAD)0.5
Skewness0.3125699596
Sum11
Variance0.5666666667
MonotonicityNot monotonic
2025-02-26T17:46:36.165097image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 3
33.3%
1 2
22.2%
3 1
 
11.1%
(Missing) 3
33.3%
ValueCountFrequency (%)
1 2
22.2%
2 3
33.3%
3 1
 
11.1%
ValueCountFrequency (%)
3 1
 
11.1%
2 3
33.3%
1 2
22.2%

w2_C12_1
Real number (ℝ)

Missing 

How often did you shop at the following super/markets last month? Answer: Specialised food shops (fishery, butchery, bakery, fruit and vegetable shops). 1. Never, 2. Rarely, 3. Often, 4. Always, 5. No nearby shops

Distinct3
Distinct (%)50.0%
Missing3
Missing (%)33.3%
Infinite0
Infinite (%)0.0%
Mean2.833333333
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:36.206063image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.5
Q13
median3
Q33
95-th percentile3.75
Maximum4
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9831920803
Coefficient of variation (CV)0.3470089695
Kurtosis3.602853746
Mean2.833333333
Median Absolute Deviation (MAD)0
Skewness-1.437962258
Sum17
Variance0.9666666667
MonotonicityNot monotonic
2025-02-26T17:46:36.243969image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
3 4
44.4%
1 1
 
11.1%
4 1
 
11.1%
(Missing) 3
33.3%
ValueCountFrequency (%)
1 1
 
11.1%
3 4
44.4%
4 1
 
11.1%
ValueCountFrequency (%)
4 1
 
11.1%
3 4
44.4%
1 1
 
11.1%

w2_C12_2
Real number (ℝ)

Missing 

How often did you shop at the following super/markets last month? Answer: Organic Shops. 1. Never, 2. Rarely, 3. Often, 4. Always, 5. No nearby shops

Distinct3
Distinct (%)50.0%
Missing3
Missing (%)33.3%
Infinite0
Infinite (%)0.0%
Mean1.833333333
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:36.282012image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31.75
95-th percentile4.25
Maximum5
Range4
Interquartile range (IQR)0.75

Descriptive statistics

Standard deviation1.602081979
Coefficient of variation (CV)0.8738628975
Kurtosis4.639905549
Mean1.833333333
Median Absolute Deviation (MAD)0
Skewness2.148178737
Sum11
Variance2.566666667
MonotonicityNot monotonic
2025-02-26T17:46:36.321890image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 4
44.4%
2 1
 
11.1%
5 1
 
11.1%
(Missing) 3
33.3%
ValueCountFrequency (%)
1 4
44.4%
2 1
 
11.1%
5 1
 
11.1%
ValueCountFrequency (%)
5 1
 
11.1%
2 1
 
11.1%
1 4
44.4%

w2_C12_3
Real number (ℝ)

Missing 

How often did you shop at the following super/markets last month? Answer: Supermarkets. 1. Never, 2. Rarely, 3. Often, 4. Always, 5. No nearby shops

Distinct2
Distinct (%)33.3%
Missing3
Missing (%)33.3%
Infinite0
Infinite (%)0.0%
Mean3.5
Minimum3
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:36.361735image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q13
median3.5
Q34
95-th percentile4
Maximum4
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5477225575
Coefficient of variation (CV)0.1564921593
Kurtosis-3.333333333
Mean3.5
Median Absolute Deviation (MAD)0.5
Skewness0
Sum21
Variance0.3
MonotonicityNot monotonic
2025-02-26T17:46:36.464493image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
4 3
33.3%
3 3
33.3%
(Missing) 3
33.3%
ValueCountFrequency (%)
3 3
33.3%
4 3
33.3%
ValueCountFrequency (%)
4 3
33.3%
3 3
33.3%

w2_C12_4
Real number (ℝ)

Missing 

How often did you shop at the following super/markets last month? Answer: Discount supermarket. 1. Never, 2. Rarely, 3. Often, 4. Always, 5. No nearby shops

Distinct4
Distinct (%)66.7%
Missing3
Missing (%)33.3%
Infinite0
Infinite (%)0.0%
Mean2.5
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:36.501456image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.25
Q12
median2
Q32.75
95-th percentile4.5
Maximum5
Range4
Interquartile range (IQR)0.75

Descriptive statistics

Standard deviation1.378404875
Coefficient of variation (CV)0.5513619501
Kurtosis2.354570637
Mean2.5
Median Absolute Deviation (MAD)0.5
Skewness1.374586579
Sum15
Variance1.9
MonotonicityNot monotonic
2025-02-26T17:46:36.542396image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 3
33.3%
3 1
 
11.1%
5 1
 
11.1%
1 1
 
11.1%
(Missing) 3
33.3%
ValueCountFrequency (%)
1 1
 
11.1%
2 3
33.3%
3 1
 
11.1%
5 1
 
11.1%
ValueCountFrequency (%)
5 1
 
11.1%
3 1
 
11.1%
2 3
33.3%
1 1
 
11.1%

w2_C12_5
Real number (ℝ)

Missing 

How often did you shop at the following super/markets last month? Answer: Street markets 1. Never, 2. Rarely, 3. Often, 4. Always, 5. No nearby shops

Distinct3
Distinct (%)50.0%
Missing3
Missing (%)33.3%
Infinite0
Infinite (%)0.0%
Mean2.5
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:36.580556image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11.5
median3
Q33
95-th percentile3.75
Maximum4
Range3
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation1.224744871
Coefficient of variation (CV)0.4898979486
Kurtosis-1.466666667
Mean2.5
Median Absolute Deviation (MAD)0.5
Skewness-0.4898979486
Sum15
Variance1.5
MonotonicityNot monotonic
2025-02-26T17:46:36.616053image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
3 3
33.3%
1 2
22.2%
4 1
 
11.1%
(Missing) 3
33.3%
ValueCountFrequency (%)
1 2
22.2%
3 3
33.3%
4 1
 
11.1%
ValueCountFrequency (%)
4 1
 
11.1%
3 3
33.3%
1 2
22.2%

w2_D01
Real number (ℝ)

Missing 

Beyond walking about, do you engage in other physical activities? 1. Yes 2. No

Distinct2
Distinct (%)25.0%
Missing1
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean1.25
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:36.654513image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31.25
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0.25

Descriptive statistics

Standard deviation0.4629100499
Coefficient of variation (CV)0.3703280399
Kurtosis0
Mean1.25
Median Absolute Deviation (MAD)0
Skewness1.4401646
Sum10
Variance0.2142857143
MonotonicityNot monotonic
2025-02-26T17:46:36.692603image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 6
66.7%
2 2
 
22.2%
(Missing) 1
 
11.1%
ValueCountFrequency (%)
1 6
66.7%
2 2
 
22.2%
ValueCountFrequency (%)
2 2
 
22.2%
1 6
66.7%

w2_D02
Real number (ℝ)

Missing 

Have you been physically active on a regular basis in the last year or so? 1. Yes 2. No [If w2_D01=No and w2_D02=No go to F01]

Distinct2
Distinct (%)25.0%
Missing1
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean1.375
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:36.730043image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5175491695
Coefficient of variation (CV)0.376399396
Kurtosis-2.24
Mean1.375
Median Absolute Deviation (MAD)0
Skewness0.6440611887
Sum11
Variance0.2678571429
MonotonicityNot monotonic
2025-02-26T17:46:36.767354image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 5
55.6%
2 3
33.3%
(Missing) 1
 
11.1%
ValueCountFrequency (%)
1 5
55.6%
2 3
33.3%
ValueCountFrequency (%)
2 3
33.3%
1 5
55.6%

w2_D03_1
Real number (ℝ)

Missing 

Question: During the last year or so, how often have you done the following types of sport activities? | Answer: Cardio/fitness activities like swimming, running, jogging, stair climbing, cycling or rope skipping.

Distinct3
Distinct (%)50.0%
Missing3
Missing (%)33.3%
Infinite0
Infinite (%)0.0%
Mean3.5
Minimum2
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:36.803120image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2.25
Q13.25
median4
Q34
95-th percentile4
Maximum4
Range2
Interquartile range (IQR)0.75

Descriptive statistics

Standard deviation0.8366600265
Coefficient of variation (CV)0.2390457219
Kurtosis1.428571429
Mean3.5
Median Absolute Deviation (MAD)0
Skewness-1.536722498
Sum21
Variance0.7
MonotonicityNot monotonic
2025-02-26T17:46:36.843564image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
4 4
44.4%
3 1
 
11.1%
2 1
 
11.1%
(Missing) 3
33.3%
ValueCountFrequency (%)
2 1
 
11.1%
3 1
 
11.1%
4 4
44.4%
ValueCountFrequency (%)
4 4
44.4%
3 1
 
11.1%
2 1
 
11.1%

w2_D03_2
Real number (ℝ)

Missing 

Question: During the last year or so, how often have you done the following types of sport activities? | Answer: Yoga, stretching and fitness dancing activities like aerobics, dance exercise, Pilates.

Distinct4
Distinct (%)66.7%
Missing3
Missing (%)33.3%
Infinite0
Infinite (%)0.0%
Mean2.5
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:36.881842image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11.25
median2.5
Q33.75
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)2.5

Descriptive statistics

Standard deviation1.378404875
Coefficient of variation (CV)0.5513619501
Kurtosis-2.299168975
Mean2.5
Median Absolute Deviation (MAD)1.5
Skewness0
Sum15
Variance1.9
MonotonicityNot monotonic
2025-02-26T17:46:36.919210image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 2
22.2%
4 2
22.2%
2 1
 
11.1%
3 1
 
11.1%
(Missing) 3
33.3%
ValueCountFrequency (%)
1 2
22.2%
2 1
11.1%
3 1
11.1%
4 2
22.2%
ValueCountFrequency (%)
4 2
22.2%
3 1
11.1%
2 1
11.1%
1 2
22.2%

w2_D03_3
Real number (ℝ)

Missing 

Question: During the last year or so, how often have you done the following types of sport activities? | Answer: Water sports like skiing, snowboarding, wakeboarding, diving, canoeing or rowing.

Distinct2
Distinct (%)33.3%
Missing3
Missing (%)33.3%
Infinite0
Infinite (%)0.0%
Mean1.166666667
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:36.957764image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1.75
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4082482905
Coefficient of variation (CV)0.3499271061
Kurtosis6
Mean1.166666667
Median Absolute Deviation (MAD)0
Skewness2.449489743
Sum7
Variance0.1666666667
MonotonicityIncreasing
2025-02-26T17:46:36.995753image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 5
55.6%
2 1
 
11.1%
(Missing) 3
33.3%
ValueCountFrequency (%)
1 5
55.6%
2 1
 
11.1%
ValueCountFrequency (%)
2 1
 
11.1%
1 5
55.6%

w2_D03_4
Real number (ℝ)

Missing 

Question: During the last year or so, how often have you done the following types of sport activities? | Answer: Weightlifting and resistance training including free weights, bench press, leg press, push-ups, pull-ups or sit-ups.

Distinct3
Distinct (%)50.0%
Missing3
Missing (%)33.3%
Infinite0
Infinite (%)0.0%
Mean2.166666667
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:37.031402image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile3.75
Maximum4
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.329160136
Coefficient of variation (CV)0.6134585242
Kurtosis-2.253470986
Mean2.166666667
Median Absolute Deviation (MAD)1
Skewness0.3264935898
Sum13
Variance1.766666667
MonotonicityNot monotonic
2025-02-26T17:46:37.068373image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 3
33.3%
3 2
22.2%
4 1
 
11.1%
(Missing) 3
33.3%
ValueCountFrequency (%)
1 3
33.3%
3 2
22.2%
4 1
 
11.1%
ValueCountFrequency (%)
4 1
 
11.1%
3 2
22.2%
1 3
33.3%

w2_D03_5
Real number (ℝ)

Constant  Missing 

Question: During the last year or so, how often have you done the following types of sport activities? | Answer: Team sports like soccer, basketball, hockey, baseball, and volleyball.

Distinct1
Distinct (%)16.7%
Missing3
Missing (%)33.3%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:37.106719image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum6
Variance0
MonotonicityIncreasing
2025-02-26T17:46:37.142510image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1 6
66.7%
(Missing) 3
33.3%
ValueCountFrequency (%)
1 6
66.7%
ValueCountFrequency (%)
1 6
66.7%

w2_D03_6
Real number (ℝ)

Missing 

Question: During the last year or so, how often have you done the following types of sport activities? | Answer: Boxing and martial arts like judo, karate and taekwondo.

Distinct2
Distinct (%)33.3%
Missing3
Missing (%)33.3%
Infinite0
Infinite (%)0.0%
Mean1.166666667
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:37.178238image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1.75
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4082482905
Coefficient of variation (CV)0.3499271061
Kurtosis6
Mean1.166666667
Median Absolute Deviation (MAD)0
Skewness2.449489743
Sum7
Variance0.1666666667
MonotonicityIncreasing
2025-02-26T17:46:37.217558image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 5
55.6%
2 1
 
11.1%
(Missing) 3
33.3%
ValueCountFrequency (%)
1 5
55.6%
2 1
 
11.1%
ValueCountFrequency (%)
2 1
 
11.1%
1 5
55.6%

w2_D03_7
Real number (ℝ)

Constant  Missing 

Question: During the last year or so, how often have you done the following types of sport activities? | Answer: Racket sports such as tennis, ping pong, and squash.

Distinct1
Distinct (%)16.7%
Missing3
Missing (%)33.3%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:37.253004image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum6
Variance0
MonotonicityIncreasing
2025-02-26T17:46:37.288254image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1 6
66.7%
(Missing) 3
33.3%
ValueCountFrequency (%)
1 6
66.7%
ValueCountFrequency (%)
1 6
66.7%

w2_D03_8
Real number (ℝ)

Missing 

Question: During the last year or so, how often have you done the following types of sport activities? | Answer: Outdoor recreational sports like climbing, hill trekking, walking, mountain biking, orienteering, skateboarding.

Distinct3
Distinct (%)50.0%
Missing3
Missing (%)33.3%
Infinite0
Infinite (%)0.0%
Mean1.666666667
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:37.324104image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1.5
Q32
95-th percentile2.75
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8164965809
Coefficient of variation (CV)0.4898979486
Kurtosis-0.3
Mean1.666666667
Median Absolute Deviation (MAD)0.5
Skewness0.85732141
Sum10
Variance0.6666666667
MonotonicityNot monotonic
2025-02-26T17:46:37.364914image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 3
33.3%
2 2
22.2%
3 1
 
11.1%
(Missing) 3
33.3%
ValueCountFrequency (%)
1 3
33.3%
2 2
22.2%
3 1
 
11.1%
ValueCountFrequency (%)
3 1
 
11.1%
2 2
22.2%
1 3
33.3%

w2_D04
Real number (ℝ)

Missing 

How often do you do physical exercise? 1. Every few weeks or less 2. Once or twice a week 3. Three to five days a week 4. Six to seven days a week

Distinct3
Distinct (%)50.0%
Missing3
Missing (%)33.3%
Infinite0
Infinite (%)0.0%
Mean2.833333333
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:37.404211image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.5
Q13
median3
Q33
95-th percentile3.75
Maximum4
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9831920803
Coefficient of variation (CV)0.3470089695
Kurtosis3.602853746
Mean2.833333333
Median Absolute Deviation (MAD)0
Skewness-1.437962258
Sum17
Variance0.9666666667
MonotonicityNot monotonic
2025-02-26T17:46:37.440444image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
3 4
44.4%
1 1
 
11.1%
4 1
 
11.1%
(Missing) 3
33.3%
ValueCountFrequency (%)
1 1
 
11.1%
3 4
44.4%
4 1
 
11.1%
ValueCountFrequency (%)
4 1
 
11.1%
3 4
44.4%
1 1
 
11.1%

w2_D05_1
Real number (ℝ)

Missing 

How often do you exercise alone? 1. Never, 2. Seldom, 3. Sometimes, 4. Often, 5. Always

Distinct3
Distinct (%)50.0%
Missing3
Missing (%)33.3%
Infinite0
Infinite (%)0.0%
Mean4
Minimum3
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:37.477260image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q13.25
median4
Q34.75
95-th percentile5
Maximum5
Range2
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation0.894427191
Coefficient of variation (CV)0.2236067977
Kurtosis-1.875
Mean4
Median Absolute Deviation (MAD)1
Skewness0
Sum24
Variance0.8
MonotonicityNot monotonic
2025-02-26T17:46:37.517748image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
3 2
22.2%
5 2
22.2%
4 2
22.2%
(Missing) 3
33.3%
ValueCountFrequency (%)
3 2
22.2%
4 2
22.2%
5 2
22.2%
ValueCountFrequency (%)
5 2
22.2%
4 2
22.2%
3 2
22.2%

w2_D05_2
Real number (ℝ)

Missing 

How often do you exercise with Friends, family members? 1. Never, 2. Seldom, 3. Sometimes, 4. Often, 5. Always

Distinct3
Distinct (%)50.0%
Missing3
Missing (%)33.3%
Infinite0
Infinite (%)0.0%
Mean2
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:37.555646image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11.25
median2
Q32
95-th percentile3.5
Maximum4
Range3
Interquartile range (IQR)0.75

Descriptive statistics

Standard deviation1.095445115
Coefficient of variation (CV)0.5477225575
Kurtosis2.5
Mean2
Median Absolute Deviation (MAD)0.5
Skewness1.369306394
Sum12
Variance1.2
MonotonicityNot monotonic
2025-02-26T17:46:37.593040image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 3
33.3%
1 2
22.2%
4 1
 
11.1%
(Missing) 3
33.3%
ValueCountFrequency (%)
1 2
22.2%
2 3
33.3%
4 1
 
11.1%
ValueCountFrequency (%)
4 1
 
11.1%
2 3
33.3%
1 2
22.2%

w2_D05_3
Real number (ℝ)

Missing 

How often do you exercise with Trainer, a group or sport team? 1. Never, 2. Seldom, 3. Sometimes, 4. Often, 5. Always

Distinct3
Distinct (%)50.0%
Missing3
Missing (%)33.3%
Infinite0
Infinite (%)0.0%
Mean1.666666667
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:37.629143image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31.75
95-th percentile3.5
Maximum4
Range3
Interquartile range (IQR)0.75

Descriptive statistics

Standard deviation1.211060142
Coefficient of variation (CV)0.726636085
Kurtosis3.657024793
Mean1.666666667
Median Absolute Deviation (MAD)0
Skewness1.951708493
Sum10
Variance1.466666667
MonotonicityNot monotonic
2025-02-26T17:46:37.664827image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 4
44.4%
4 1
 
11.1%
2 1
 
11.1%
(Missing) 3
33.3%
ValueCountFrequency (%)
1 4
44.4%
2 1
 
11.1%
4 1
 
11.1%
ValueCountFrequency (%)
4 1
 
11.1%
2 1
 
11.1%
1 4
44.4%

w2_D06_1
Boolean

Constant  Missing 

Question: When exercising, which of the following devices do you use? (Multiple choice) | Answer: Wearable fitness trackers.

Distinct1
Distinct (%)16.7%
Missing3
Missing (%)33.3%
Memory size150.0 B
False
(Missing)
ValueCountFrequency (%)
False 6
66.7%
(Missing) 3
33.3%
2025-02-26T17:46:37.700546image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_D06_2
Boolean

Missing 

Question: When exercising, which of the following devices do you use? (Multiple choice) | Answer: Smartwatches.

Distinct2
Distinct (%)33.3%
Missing3
Missing (%)33.3%
Memory size150.0 B
False
True
(Missing)
ValueCountFrequency (%)
False 4
44.4%
True 2
22.2%
(Missing) 3
33.3%
2025-02-26T17:46:37.730645image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_D06_3
Boolean

Missing 

Question: When exercising, which of the following devices do you use? (Multiple choice) | Answer: Smartphone fitness apps.

Distinct2
Distinct (%)33.3%
Missing3
Missing (%)33.3%
Memory size150.0 B
False
True
(Missing)
ValueCountFrequency (%)
False 4
44.4%
True 2
22.2%
(Missing) 3
33.3%
2025-02-26T17:46:37.762986image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_D06_4
Boolean

Missing 

Question: When exercising, which of the following devices do you use? (Multiple choice) | Answer: Headphones.

Distinct2
Distinct (%)33.3%
Missing3
Missing (%)33.3%
Memory size150.0 B
False
True
(Missing)
ValueCountFrequency (%)
False 4
44.4%
True 2
22.2%
(Missing) 3
33.3%
2025-02-26T17:46:37.796209image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_D06_5
Boolean

Missing 

Question: When exercising, which of the following devices do you use? (Multiple choice) | Answer: None.

Distinct2
Distinct (%)33.3%
Missing3
Missing (%)33.3%
Memory size150.0 B
True
False
(Missing)
ValueCountFrequency (%)
True 4
44.4%
False 2
22.2%
(Missing) 3
33.3%
2025-02-26T17:46:37.828505image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_D06_other
Unsupported

Missing  Rejected  Unsupported 

Question: When exercising, which of the following devices do you use? (Multiple choice) | Answer: Other, please specify.

Missing9
Missing (%)100.0%
Memory size206.0 B

w2_D07_1
Real number (ℝ)

Missing 

Question: Read the following statements and indicate how often you do the following. | Answer: Look for fitness information on the Internet.

Distinct4
Distinct (%)66.7%
Missing3
Missing (%)33.3%
Infinite0
Infinite (%)0.0%
Mean2.5
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:37.861967image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33.75
95-th percentile4.75
Maximum5
Range4
Interquartile range (IQR)2.75

Descriptive statistics

Standard deviation1.760681686
Coefficient of variation (CV)0.7042726745
Kurtosis-1.925078044
Mean2.5
Median Absolute Deviation (MAD)1
Skewness0.4946764363
Sum15
Variance3.1
MonotonicityNot monotonic
2025-02-26T17:46:37.903226image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 3
33.3%
5 1
 
11.1%
3 1
 
11.1%
4 1
 
11.1%
(Missing) 3
33.3%
ValueCountFrequency (%)
1 3
33.3%
3 1
 
11.1%
4 1
 
11.1%
5 1
 
11.1%
ValueCountFrequency (%)
5 1
 
11.1%
4 1
 
11.1%
3 1
 
11.1%
1 3
33.3%

w2_D07_2
Real number (ℝ)

Constant  Missing 

Question: Read the following statements and indicate how often you do the following. | Answer: Read specialised magazines about sports and physical activities.

Distinct1
Distinct (%)16.7%
Missing3
Missing (%)33.3%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:37.942621image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum6
Variance0
MonotonicityIncreasing
2025-02-26T17:46:37.978775image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1 6
66.7%
(Missing) 3
33.3%
ValueCountFrequency (%)
1 6
66.7%
ValueCountFrequency (%)
1 6
66.7%

w2_D07_3
Real number (ℝ)

Missing 

Question: Read the following statements and indicate how often you do the following. | Answer: Ask fitness trainers for advice on how to improve your workout routines.

Distinct2
Distinct (%)33.3%
Missing3
Missing (%)33.3%
Infinite0
Infinite (%)0.0%
Mean2
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:38.013483image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.095445115
Coefficient of variation (CV)0.5477225575
Kurtosis-3.333333333
Mean2
Median Absolute Deviation (MAD)1
Skewness0
Sum12
Variance1.2
MonotonicityNot monotonic
2025-02-26T17:46:38.054773image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 3
33.3%
3 3
33.3%
(Missing) 3
33.3%
ValueCountFrequency (%)
1 3
33.3%
3 3
33.3%
ValueCountFrequency (%)
3 3
33.3%
1 3
33.3%

w2_D07_4
Real number (ℝ)

Missing 

Question: Read the following statements and indicate how often you do the following. | Answer: Talk with sporty people about training routines and sports equipment.

Distinct3
Distinct (%)50.0%
Missing3
Missing (%)33.3%
Infinite0
Infinite (%)0.0%
Mean1.833333333
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:38.093255image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32.5
95-th percentile3.75
Maximum4
Range3
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation1.329160136
Coefficient of variation (CV)0.7249964377
Kurtosis-0.459238163
Mean1.833333333
Median Absolute Deviation (MAD)0
Skewness1.206606745
Sum11
Variance1.766666667
MonotonicityNot monotonic
2025-02-26T17:46:38.128958image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 4
44.4%
4 1
 
11.1%
3 1
 
11.1%
(Missing) 3
33.3%
ValueCountFrequency (%)
1 4
44.4%
3 1
 
11.1%
4 1
 
11.1%
ValueCountFrequency (%)
4 1
 
11.1%
3 1
 
11.1%
1 4
44.4%

w2_D07_5
Real number (ℝ)

Missing 

Question: Read the following statements and indicate how often you do the following. | Answer: Use Apps for fitness information.

Distinct2
Distinct (%)33.3%
Missing3
Missing (%)33.3%
Infinite0
Infinite (%)0.0%
Mean1.333333333
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:38.166189image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2.5
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8164965809
Coefficient of variation (CV)0.6123724357
Kurtosis6
Mean1.333333333
Median Absolute Deviation (MAD)0
Skewness2.449489743
Sum8
Variance0.6666666667
MonotonicityNot monotonic
2025-02-26T17:46:38.206204image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 5
55.6%
3 1
 
11.1%
(Missing) 3
33.3%
ValueCountFrequency (%)
1 5
55.6%
3 1
 
11.1%
ValueCountFrequency (%)
3 1
 
11.1%
1 5
55.6%

w2_E01_1
Real number (ℝ)

Missing 

Question: Have you given your time to help in any of the following ways outside of school or college hours in the last three months? Statement: Helped out at a local club, group, organization or place of worship. | Answer: 1. Yes, 2. No.

Distinct2
Distinct (%)25.0%
Missing1
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean1.625
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:38.246423image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5175491695
Coefficient of variation (CV)0.3184917966
Kurtosis-2.24
Mean1.625
Median Absolute Deviation (MAD)0
Skewness-0.6440611887
Sum13
Variance0.2678571429
MonotonicityNot monotonic
2025-02-26T17:46:38.284970image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 5
55.6%
1 3
33.3%
(Missing) 1
 
11.1%
ValueCountFrequency (%)
1 3
33.3%
2 5
55.6%
ValueCountFrequency (%)
2 5
55.6%
1 3
33.3%

w2_E01_2
Real number (ℝ)

Missing 

Question: Have you given your time to help in any of the following ways outside of school or college hours in the last three months? Statement: Helped out other organizations. | Answer: 1. Yes, 2. No.

Distinct2
Distinct (%)25.0%
Missing1
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean1.75
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:38.321726image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11.75
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0.25

Descriptive statistics

Standard deviation0.4629100499
Coefficient of variation (CV)0.2645200285
Kurtosis0
Mean1.75
Median Absolute Deviation (MAD)0
Skewness-1.4401646
Sum14
Variance0.2142857143
MonotonicityNot monotonic
2025-02-26T17:46:38.360964image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 6
66.7%
1 2
 
22.2%
(Missing) 1
 
11.1%
ValueCountFrequency (%)
1 2
 
22.2%
2 6
66.7%
ValueCountFrequency (%)
2 6
66.7%
1 2
 
22.2%

w2_E01_3
Real number (ℝ)

Constant  Missing 

Question: Have you given your time to help in any of the following ways outside of school or college hours in the last three months? Statement: Raised money for charity (including taking part in a sponsored event). | Answer: 1. Yes, 2. No.

Distinct1
Distinct (%)14.3%
Missing2
Missing (%)22.2%
Infinite0
Infinite (%)0.0%
Mean2
Minimum2
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:38.397628image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q12
median2
Q32
95-th percentile2
Maximum2
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean2
Median Absolute Deviation (MAD)0
Skewness0
Sum14
Variance0
MonotonicityIncreasing
2025-02-26T17:46:38.433577image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
2 7
77.8%
(Missing) 2
 
22.2%
ValueCountFrequency (%)
2 7
77.8%
ValueCountFrequency (%)
2 7
77.8%

w2_E01_4
Real number (ℝ)

Missing 

Question: Have you given your time to help in any of the following ways outside of school or college hours in the last three months? Statement: Contacted someone (e.g., council, media, school) about something affecting your local area. | Answer: 1. Yes, 2. No.

Distinct2
Distinct (%)25.0%
Missing1
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean1.75
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:38.470292image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11.75
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0.25

Descriptive statistics

Standard deviation0.4629100499
Coefficient of variation (CV)0.2645200285
Kurtosis0
Mean1.75
Median Absolute Deviation (MAD)0
Skewness-1.4401646
Sum14
Variance0.2142857143
MonotonicityNot monotonic
2025-02-26T17:46:38.508895image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 6
66.7%
1 2
 
22.2%
(Missing) 1
 
11.1%
ValueCountFrequency (%)
1 2
 
22.2%
2 6
66.7%
ValueCountFrequency (%)
2 6
66.7%
1 2
 
22.2%

w2_E01_5
Real number (ℝ)

Missing 

Question: Have you given your time to help in any of the following ways outside of school or college hours in the last three months? Statement: Organized a petition or event to support a local or national issue. | Answer: 1. Yes, 2. No.

Distinct2
Distinct (%)25.0%
Missing1
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean1.875
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:38.545957image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.35
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3535533906
Coefficient of variation (CV)0.1885618083
Kurtosis8
Mean1.875
Median Absolute Deviation (MAD)0
Skewness-2.828427125
Sum15
Variance0.125
MonotonicityDecreasing
2025-02-26T17:46:38.585657image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 7
77.8%
1 1
 
11.1%
(Missing) 1
 
11.1%
ValueCountFrequency (%)
1 1
 
11.1%
2 7
77.8%
ValueCountFrequency (%)
2 7
77.8%
1 1
 
11.1%

w2_E01_6
Real number (ℝ)

Missing 

Question: Have you given your time to help in any of the following ways outside of school or college hours in the last three months? Statement: Done something to help other people, or to improve a local area. | Answer: 1. Yes, 2. No.

Distinct2
Distinct (%)25.0%
Missing1
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean1.5
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:38.622676image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1.5
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5345224838
Coefficient of variation (CV)0.3563483225
Kurtosis-2.8
Mean1.5
Median Absolute Deviation (MAD)0.5
Skewness0
Sum12
Variance0.2857142857
MonotonicityNot monotonic
2025-02-26T17:46:38.660409image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 4
44.4%
1 4
44.4%
(Missing) 1
 
11.1%
ValueCountFrequency (%)
1 4
44.4%
2 4
44.4%
ValueCountFrequency (%)
2 4
44.4%
1 4
44.4%

w2_E02_1
Real number (ℝ)

Missing 

Question: Now, think about people you know who you would feel happy getting in touch with to ask for advice or a favour. How many are from a different school or college to you? | Answer: 1. None, 2. Almost none, 3. Someone, 4. Many.

Distinct3
Distinct (%)50.0%
Missing3
Missing (%)33.3%
Infinite0
Infinite (%)0.0%
Mean3
Minimum2
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:38.760464image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2.25
Q13
median3
Q33
95-th percentile3.75
Maximum4
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.632455532
Coefficient of variation (CV)0.2108185107
Kurtosis2.5
Mean3
Median Absolute Deviation (MAD)0
Skewness0
Sum18
Variance0.4
MonotonicityNot monotonic
2025-02-26T17:46:38.800285image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
3 4
44.4%
2 1
 
11.1%
4 1
 
11.1%
(Missing) 3
33.3%
ValueCountFrequency (%)
2 1
 
11.1%
3 4
44.4%
4 1
 
11.1%
ValueCountFrequency (%)
4 1
 
11.1%
3 4
44.4%
2 1
 
11.1%

w2_E02_2
Real number (ℝ)

Missing 

Question: Now, think about people you know who you would feel happy getting in touch with to ask for advice or a favour. How many are from a different ethnicity to you? | Answer: 1. None, 2. Almost none, 3. Someone, 4. Many.

Distinct3
Distinct (%)60.0%
Missing4
Missing (%)44.4%
Infinite0
Infinite (%)0.0%
Mean3
Minimum2
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:38.839826image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2.2
Q13
median3
Q33
95-th percentile3.8
Maximum4
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7071067812
Coefficient of variation (CV)0.2357022604
Kurtosis2
Mean3
Median Absolute Deviation (MAD)0
Skewness0
Sum15
Variance0.5
MonotonicityNot monotonic
2025-02-26T17:46:38.880481image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
3 3
33.3%
2 1
 
11.1%
4 1
 
11.1%
(Missing) 4
44.4%
ValueCountFrequency (%)
2 1
 
11.1%
3 3
33.3%
4 1
 
11.1%
ValueCountFrequency (%)
4 1
 
11.1%
3 3
33.3%
2 1
 
11.1%

w2_E02_3
Real number (ℝ)

Missing 

Question: Now, think about people you know who you would feel happy getting in touch with to ask for advice or a favour. How many are from a different religious background to you? | Answer: 1. None, 2. Almost none, 3. Someone, 4. Many.

Distinct3
Distinct (%)50.0%
Missing3
Missing (%)33.3%
Infinite0
Infinite (%)0.0%
Mean2.833333333
Minimum2
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:38.924429image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q12.25
median3
Q33
95-th percentile3.75
Maximum4
Range2
Interquartile range (IQR)0.75

Descriptive statistics

Standard deviation0.7527726527
Coefficient of variation (CV)0.2656844657
Kurtosis-0.1038062284
Mean2.833333333
Median Absolute Deviation (MAD)0.5
Skewness0.3125699596
Sum17
Variance0.5666666667
MonotonicityNot monotonic
2025-02-26T17:46:38.966008image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
3 3
33.3%
2 2
22.2%
4 1
 
11.1%
(Missing) 3
33.3%
ValueCountFrequency (%)
2 2
22.2%
3 3
33.3%
4 1
 
11.1%
ValueCountFrequency (%)
4 1
 
11.1%
3 3
33.3%
2 2
22.2%

w2_E02_4
Real number (ℝ)

Missing 

Question: Now, think about people you know who you would feel happy getting in touch with to ask for advice or a favour. How many are from a richer or poorer background to you? | Answer: 1. None, 2. Almost none, 3. Someone, 4. Many.

Distinct3
Distinct (%)42.9%
Missing2
Missing (%)22.2%
Infinite0
Infinite (%)0.0%
Mean2.714285714
Minimum2
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:39.006174image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q12
median3
Q33
95-th percentile3.7
Maximum4
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.755928946
Coefficient of variation (CV)0.278500138
Kurtosis-0.35
Mean2.714285714
Median Absolute Deviation (MAD)1
Skewness0.595294045
Sum19
Variance0.5714285714
MonotonicityNot monotonic
2025-02-26T17:46:39.048202image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 3
33.3%
3 3
33.3%
4 1
 
11.1%
(Missing) 2
22.2%
ValueCountFrequency (%)
2 3
33.3%
3 3
33.3%
4 1
 
11.1%
ValueCountFrequency (%)
4 1
 
11.1%
3 3
33.3%
2 3
33.3%

w2_E02_5
Real number (ℝ)

Missing 

Question: Now, think about people you know who you would feel happy getting in touch with to ask for advice or a favour. How many are of a different sexual orientation than yours? | Answer: 1. None, 2. Almost none, 3. Someone, 4. Many.

Distinct3
Distinct (%)42.9%
Missing2
Missing (%)22.2%
Infinite0
Infinite (%)0.0%
Mean3.142857143
Minimum2
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:39.088541image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2.3
Q13
median3
Q33.5
95-th percentile4
Maximum4
Range2
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation0.6900655593
Coefficient of variation (CV)0.2195663143
Kurtosis0.336
Mean3.142857143
Median Absolute Deviation (MAD)0
Skewness-0.173896521
Sum22
Variance0.4761904762
MonotonicityNot monotonic
2025-02-26T17:46:39.128934image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
3 4
44.4%
4 2
22.2%
2 1
 
11.1%
(Missing) 2
22.2%
ValueCountFrequency (%)
2 1
 
11.1%
3 4
44.4%
4 2
22.2%
ValueCountFrequency (%)
4 2
22.2%
3 4
44.4%
2 1
 
11.1%

w2_F02_1
Unsupported

Missing  Rejected  Unsupported 

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: systematic ... casual

Missing9
Missing (%)100.0%
Memory size213.0 B

w2_F02_2
Unsupported

Missing  Rejected  Unsupported 

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: talkative ... quiet

Missing9
Missing (%)100.0%
Memory size213.0 B

w2_F02_3
Unsupported

Missing  Rejected  Unsupported 

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: open-ended ... planned

Missing9
Missing (%)100.0%
Memory size213.0 B

w2_F02_4
Unsupported

Missing  Rejected  Unsupported 

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: questioning ... accommodating

Missing9
Missing (%)100.0%
Memory size213.0 B

w2_F02_5
Unsupported

Missing  Rejected  Unsupported 

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: logic ... empathy

Missing9
Missing (%)100.0%
Memory size213.0 B

w2_F02_6
Unsupported

Missing  Rejected  Unsupported 

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: sociable ... reversed

Missing9
Missing (%)100.0%
Memory size213.0 B

w2_F02_7
Unsupported

Missing  Rejected  Unsupported 

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: impartial ... merciful

Missing9
Missing (%)100.0%
Memory size213.0 B

w2_F02_8
Unsupported

Missing  Rejected  Unsupported 

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: practical ... conceptual

Missing9
Missing (%)100.0%
Memory size213.0 B

w2_F02_9
Unsupported

Missing  Rejected  Unsupported 

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: pressured ... unpressured

Missing9
Missing (%)100.0%
Memory size213.0 B

w2_F02_10
Unsupported

Missing  Rejected  Unsupported 

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: sceptical ... tolerant

Missing9
Missing (%)100.0%
Memory size213.0 B

w2_F02_11
Unsupported

Missing  Rejected  Unsupported 

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: hands-on ... theoretical

Missing9
Missing (%)100.0%
Memory size213.0 B

w2_F02_12
Unsupported

Missing  Rejected  Unsupported 

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: contained ... expressive

Missing9
Missing (%)100.0%
Memory size213.0 B

w2_F02_13
Unsupported

Missing  Rejected  Unsupported 

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: reading ... listening

Missing9
Missing (%)100.0%
Memory size213.0 B

w2_F02_14
Unsupported

Missing  Rejected  Unsupported 

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: concrete ... abstract

Missing9
Missing (%)100.0%
Memory size213.0 B

w2_F02_15
Unsupported

Missing  Rejected  Unsupported 

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more : methodical ... improviser

Missing9
Missing (%)100.0%
Memory size213.0 B

w2_F02_16
Unsupported

Missing  Rejected  Unsupported 

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: routine ... variety

Missing9
Missing (%)100.0%
Memory size213.0 B

w2_F02_17
Unsupported

Missing  Rejected  Unsupported 

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: truthful ... tactful

Missing9
Missing (%)100.0%
Memory size213.0 B

w2_F02_18
Unsupported

Missing  Rejected  Unsupported 

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: fact-finding ... speculate

Missing9
Missing (%)100.0%
Memory size213.0 B

w2_F02_19
Unsupported

Missing  Rejected  Unsupported 

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: individuals ... groups

Missing9
Missing (%)100.0%
Memory size213.0 B

w2_F02_20
Unsupported

Missing  Rejected  Unsupported 

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: traditional ... novel

Missing9
Missing (%)100.0%
Memory size213.0 B

w2_F01_1
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: Thinking up new ideas and being creative is important to them. They like to do things in their own original way

Distinct4
Distinct (%)50.0%
Missing1
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean2.75
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:39.167159image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33.25
95-th percentile6.6
Maximum8
Range7
Interquartile range (IQR)2.25

Descriptive statistics

Standard deviation2.434865793
Coefficient of variation (CV)0.8854057428
Kurtosis2.900391929
Mean2.75
Median Absolute Deviation (MAD)1
Skewness1.652697408
Sum22
Variance5.928571429
MonotonicityNot monotonic
2025-02-26T17:46:39.204564image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 4
44.4%
3 2
22.2%
4 1
 
11.1%
8 1
 
11.1%
(Missing) 1
 
11.1%
ValueCountFrequency (%)
1 4
44.4%
3 2
22.2%
4 1
 
11.1%
8 1
 
11.1%
ValueCountFrequency (%)
8 1
 
11.1%
4 1
 
11.1%
3 2
22.2%
1 4
44.4%

w2_F01_2
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to be rich. They want to have a lot of money and expensive things

Distinct5
Distinct (%)62.5%
Missing1
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean5.25
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:39.240629image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.05
Q14
median5
Q37.25
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)3.25

Descriptive statistics

Standard deviation2.434865793
Coefficient of variation (CV)0.4637839605
Kurtosis-0.4357091015
Mean5.25
Median Absolute Deviation (MAD)1.5
Skewness-0.4651304084
Sum42
Variance5.928571429
MonotonicityNot monotonic
2025-02-26T17:46:39.279277image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 3
33.3%
8 2
22.2%
7 1
 
11.1%
1 1
 
11.1%
6 1
 
11.1%
(Missing) 1
 
11.1%
ValueCountFrequency (%)
1 1
 
11.1%
4 3
33.3%
6 1
 
11.1%
7 1
 
11.1%
8 2
22.2%
ValueCountFrequency (%)
8 2
22.2%
7 1
 
11.1%
6 1
 
11.1%
4 3
33.3%
1 1
 
11.1%

w2_F01_3
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They think it is important that every person in the world be treated equally. They want justice for everybody, even for people they don't know.

Distinct2
Distinct (%)25.0%
Missing1
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean1.875
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:39.317007image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile5.55
Maximum8
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.474873734
Coefficient of variation (CV)1.319932658
Kurtosis8
Mean1.875
Median Absolute Deviation (MAD)0
Skewness2.828427125
Sum15
Variance6.125
MonotonicityNot monotonic
2025-02-26T17:46:39.354567image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 7
77.8%
8 1
 
11.1%
(Missing) 1
 
11.1%
ValueCountFrequency (%)
1 7
77.8%
8 1
 
11.1%
ValueCountFrequency (%)
8 1
 
11.1%
1 7
77.8%

w2_F01_4
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It's very important to them to show their abilities. They want people to admire what he does

Distinct6
Distinct (%)75.0%
Missing1
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean5.125
Minimum2
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:39.392473image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q12.75
median5.5
Q37.25
95-th percentile8
Maximum8
Range6
Interquartile range (IQR)4.5

Descriptive statistics

Standard deviation2.531938839
Coefficient of variation (CV)0.4940368467
Kurtosis-1.890724001
Mean5.125
Median Absolute Deviation (MAD)2.5
Skewness-0.1859255373
Sum41
Variance6.410714286
MonotonicityNot monotonic
2025-02-26T17:46:39.430513image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
8 2
22.2%
2 2
22.2%
5 1
11.1%
7 1
11.1%
6 1
11.1%
3 1
11.1%
(Missing) 1
11.1%
ValueCountFrequency (%)
2 2
22.2%
3 1
11.1%
5 1
11.1%
6 1
11.1%
7 1
11.1%
ValueCountFrequency (%)
8 2
22.2%
7 1
11.1%
6 1
11.1%
5 1
11.1%
3 1
11.1%

w2_F01_5
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to live in secure surroundings. They avoid anything that might endanger their safety

Distinct5
Distinct (%)62.5%
Missing1
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean2.875
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:39.467178image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1.5
Q33.75
95-th percentile7.3
Maximum8
Range7
Interquartile range (IQR)2.75

Descriptive statistics

Standard deviation2.695896352
Coefficient of variation (CV)0.9377030791
Kurtosis0.5216330917
Mean2.875
Median Absolute Deviation (MAD)0.5
Skewness1.342471722
Sum23
Variance7.267857143
MonotonicityNot monotonic
2025-02-26T17:46:39.505898image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 4
44.4%
6 1
 
11.1%
3 1
 
11.1%
8 1
 
11.1%
2 1
 
11.1%
(Missing) 1
 
11.1%
ValueCountFrequency (%)
1 4
44.4%
2 1
 
11.1%
3 1
 
11.1%
6 1
 
11.1%
8 1
 
11.1%
ValueCountFrequency (%)
8 1
 
11.1%
6 1
 
11.1%
3 1
 
11.1%
2 1
 
11.1%
1 4
44.4%

w2_F01_6
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They think it is important to do lots of different things in life. They always look for new things to try

Distinct3
Distinct (%)37.5%
Missing1
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean2.125
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:39.543400image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile5.9
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.416461403
Coefficient of variation (CV)1.137158307
Kurtosis7.159666695
Mean2.125
Median Absolute Deviation (MAD)0
Skewness2.641160744
Sum17
Variance5.839285714
MonotonicityNot monotonic
2025-02-26T17:46:39.582534image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 5
55.6%
2 2
 
22.2%
8 1
 
11.1%
(Missing) 1
 
11.1%
ValueCountFrequency (%)
1 5
55.6%
2 2
 
22.2%
8 1
 
11.1%
ValueCountFrequency (%)
8 1
 
11.1%
2 2
 
22.2%
1 5
55.6%

w2_F01_7
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They believe that people should do what they're told. They think people should follow rules at all times, even when no-one is watching

Distinct5
Distinct (%)62.5%
Missing1
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean5.375
Minimum2
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:39.619638image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q13.5
median6
Q37.25
95-th percentile8
Maximum8
Range6
Interquartile range (IQR)3.75

Descriptive statistics

Standard deviation2.503568881
Coefficient of variation (CV)0.465780257
Kurtosis-1.653532033
Mean5.375
Median Absolute Deviation (MAD)2
Skewness-0.4221893254
Sum43
Variance6.267857143
MonotonicityNot monotonic
2025-02-26T17:46:39.655792image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
8 2
22.2%
2 2
22.2%
7 2
22.2%
4 1
11.1%
5 1
11.1%
(Missing) 1
11.1%
ValueCountFrequency (%)
2 2
22.2%
4 1
11.1%
5 1
11.1%
7 2
22.2%
8 2
22.2%
ValueCountFrequency (%)
8 2
22.2%
7 2
22.2%
5 1
11.1%
4 1
11.1%
2 2
22.2%

w2_F01_8
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to listen to people who are different from them. Even when he disagrees with them, they still want to understand them

Distinct3
Distinct (%)37.5%
Missing1
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean2.25
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:39.691502image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1.5
Q32
95-th percentile5.9
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.375469878
Coefficient of variation (CV)1.05576439
Kurtosis6.97554879
Mean2.25
Median Absolute Deviation (MAD)0.5
Skewness2.589760784
Sum18
Variance5.642857143
MonotonicityNot monotonic
2025-02-26T17:46:39.729309image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 4
44.4%
2 3
33.3%
8 1
 
11.1%
(Missing) 1
 
11.1%
ValueCountFrequency (%)
1 4
44.4%
2 3
33.3%
8 1
 
11.1%
ValueCountFrequency (%)
8 1
 
11.1%
2 3
33.3%
1 4
44.4%

w2_F01_9
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They think it's important not to ask for more than what you have. They believe that people should be satisfied with what they have

Distinct5
Distinct (%)62.5%
Missing1
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean5.375
Minimum2
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:39.767049image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2.35
Q13.75
median5.5
Q37.25
95-th percentile8
Maximum8
Range6
Interquartile range (IQR)3.5

Descriptive statistics

Standard deviation2.386719207
Coefficient of variation (CV)0.4440407826
Kurtosis-1.96669451
Mean5.375
Median Absolute Deviation (MAD)2
Skewness-0.1720597488
Sum43
Variance5.696428571
MonotonicityNot monotonic
2025-02-26T17:46:39.803095image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
7 2
22.2%
8 2
22.2%
4 2
22.2%
2 1
11.1%
3 1
11.1%
(Missing) 1
11.1%
ValueCountFrequency (%)
2 1
11.1%
3 1
11.1%
4 2
22.2%
7 2
22.2%
8 2
22.2%
ValueCountFrequency (%)
8 2
22.2%
7 2
22.2%
4 2
22.2%
3 1
11.1%
2 1
11.1%

w2_F01_10
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They seek every chance he can to have fun. It is important to them to do things that give them pleasure

Distinct4
Distinct (%)50.0%
Missing1
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean2.75
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:39.837991image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2.5
Q33
95-th percentile6.25
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.314550249
Coefficient of variation (CV)0.8416546362
Kurtosis4.51584
Mean2.75
Median Absolute Deviation (MAD)1
Skewness1.970145172
Sum22
Variance5.357142857
MonotonicityNot monotonic
2025-02-26T17:46:39.875481image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 3
33.3%
3 3
33.3%
2 1
 
11.1%
8 1
 
11.1%
(Missing) 1
 
11.1%
ValueCountFrequency (%)
1 3
33.3%
2 1
 
11.1%
3 3
33.3%
8 1
 
11.1%
ValueCountFrequency (%)
8 1
 
11.1%
3 3
33.3%
2 1
 
11.1%
1 3
33.3%

w2_F01_11
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to make their own decisions about what he does. They like to be free to plan and to choose their activities for themself

Distinct3
Distinct (%)37.5%
Missing1
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean2.125
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:39.911003image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile5.9
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.416461403
Coefficient of variation (CV)1.137158307
Kurtosis7.159666695
Mean2.125
Median Absolute Deviation (MAD)0
Skewness2.641160744
Sum17
Variance5.839285714
MonotonicityNot monotonic
2025-02-26T17:46:39.950118image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 5
55.6%
2 2
 
22.2%
8 1
 
11.1%
(Missing) 1
 
11.1%
ValueCountFrequency (%)
1 5
55.6%
2 2
 
22.2%
8 1
 
11.1%
ValueCountFrequency (%)
8 1
 
11.1%
2 2
 
22.2%
1 5
55.6%

w2_F01_12
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It's very important to them to help the people around them. They want to care for other people

Distinct3
Distinct (%)37.5%
Missing1
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean2
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:39.986630image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31.25
95-th percentile5.9
Maximum8
Range7
Interquartile range (IQR)0.25

Descriptive statistics

Standard deviation2.449489743
Coefficient of variation (CV)1.224744871
Kurtosis7.5
Mean2
Median Absolute Deviation (MAD)0
Skewness2.72165527
Sum16
Variance6
MonotonicityNot monotonic
2025-02-26T17:46:40.024433image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 6
66.7%
2 1
 
11.1%
8 1
 
11.1%
(Missing) 1
 
11.1%
ValueCountFrequency (%)
1 6
66.7%
2 1
 
11.1%
8 1
 
11.1%
ValueCountFrequency (%)
8 1
 
11.1%
2 1
 
11.1%
1 6
66.7%

w2_F01_13
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: Being very successful is important to them. They like to impress other people

Distinct6
Distinct (%)75.0%
Missing1
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean4
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:40.062254image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.35
Q12
median3
Q36.25
95-th percentile7.65
Maximum8
Range7
Interquartile range (IQR)4.25

Descriptive statistics

Standard deviation2.672612419
Coefficient of variation (CV)0.6681531048
Kurtosis-1.66096
Mean4
Median Absolute Deviation (MAD)1.5
Skewness0.4789321455
Sum32
Variance7.142857143
MonotonicityNot monotonic
2025-02-26T17:46:40.099572image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 3
33.3%
4 1
 
11.1%
7 1
 
11.1%
8 1
 
11.1%
6 1
 
11.1%
1 1
 
11.1%
(Missing) 1
 
11.1%
ValueCountFrequency (%)
1 1
 
11.1%
2 3
33.3%
4 1
 
11.1%
6 1
 
11.1%
7 1
 
11.1%
ValueCountFrequency (%)
8 1
 
11.1%
7 1
 
11.1%
6 1
 
11.1%
4 1
 
11.1%
2 3
33.3%

w2_F01_14
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is very important to them that their country is safe. They think the state must be on watch against threats from within and without

Distinct5
Distinct (%)62.5%
Missing1
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean2.875
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:40.136774image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11.75
median2
Q33.25
95-th percentile6.6
Maximum8
Range7
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation2.295181288
Coefficient of variation (CV)0.7983239261
Kurtosis3.970482045
Mean2.875
Median Absolute Deviation (MAD)1
Skewness1.903767493
Sum23
Variance5.267857143
MonotonicityNot monotonic
2025-02-26T17:46:40.174149image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 3
33.3%
1 2
22.2%
8 1
 
11.1%
3 1
 
11.1%
4 1
 
11.1%
(Missing) 1
 
11.1%
ValueCountFrequency (%)
1 2
22.2%
2 3
33.3%
3 1
 
11.1%
4 1
 
11.1%
8 1
 
11.1%
ValueCountFrequency (%)
8 1
 
11.1%
4 1
 
11.1%
3 1
 
11.1%
2 3
33.3%
1 2
22.2%

w2_F01_15
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They like to take risks. They are always looking for adventures

Distinct5
Distinct (%)62.5%
Missing1
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean3
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:40.210557image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11.75
median2.5
Q33.25
95-th percentile6.6
Maximum8
Range7
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation2.267786838
Coefficient of variation (CV)0.755928946
Kurtosis3.655555556
Mean3
Median Absolute Deviation (MAD)1
Skewness1.763834207
Sum24
Variance5.142857143
MonotonicityNot monotonic
2025-02-26T17:46:40.248341image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 2
22.2%
1 2
22.2%
3 2
22.2%
8 1
11.1%
4 1
11.1%
(Missing) 1
11.1%
ValueCountFrequency (%)
1 2
22.2%
2 2
22.2%
3 2
22.2%
4 1
11.1%
8 1
11.1%
ValueCountFrequency (%)
8 1
11.1%
4 1
11.1%
3 2
22.2%
2 2
22.2%
1 2
22.2%

w2_F01_16
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them always to behave properly. They want to avoid doing to anything people would say is wrong

Distinct5
Distinct (%)62.5%
Missing1
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean3
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:40.284474image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.35
Q12
median2
Q33.25
95-th percentile6.6
Maximum8
Range7
Interquartile range (IQR)1.25

Descriptive statistics

Standard deviation2.20389266
Coefficient of variation (CV)0.7346308867
Kurtosis4.488235294
Mean3
Median Absolute Deviation (MAD)0.5
Skewness2.028496358
Sum24
Variance4.857142857
MonotonicityNot monotonic
2025-02-26T17:46:40.322605image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 4
44.4%
1 1
 
11.1%
4 1
 
11.1%
8 1
 
11.1%
3 1
 
11.1%
(Missing) 1
 
11.1%
ValueCountFrequency (%)
1 1
 
11.1%
2 4
44.4%
3 1
 
11.1%
4 1
 
11.1%
8 1
 
11.1%
ValueCountFrequency (%)
8 1
 
11.1%
4 1
 
11.1%
3 1
 
11.1%
2 4
44.4%
1 1
 
11.1%

w2_F01_17
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to be in charge and tell others what to do. They want people to do what he says

Distinct6
Distinct (%)75.0%
Missing1
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean6
Minimum3
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:40.360527image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3.35
Q14.75
median6.5
Q37.25
95-th percentile8
Maximum8
Range5
Interquartile range (IQR)2.5

Descriptive statistics

Standard deviation1.8516402
Coefficient of variation (CV)0.3086066999
Kurtosis-1.05
Mean6
Median Absolute Deviation (MAD)1.5
Skewness-0.5400617249
Sum48
Variance3.428571429
MonotonicityNot monotonic
2025-02-26T17:46:40.398097image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
8 2
22.2%
7 2
22.2%
4 1
11.1%
5 1
11.1%
3 1
11.1%
6 1
11.1%
(Missing) 1
11.1%
ValueCountFrequency (%)
3 1
11.1%
4 1
11.1%
5 1
11.1%
6 1
11.1%
7 2
22.2%
ValueCountFrequency (%)
8 2
22.2%
7 2
22.2%
6 1
11.1%
5 1
11.1%
4 1
11.1%

w2_F01_18
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to be loyal to their friends. They want to devote themself to people close to them

Distinct3
Distinct (%)37.5%
Missing1
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean2
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:40.433283image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31.25
95-th percentile5.9
Maximum8
Range7
Interquartile range (IQR)0.25

Descriptive statistics

Standard deviation2.449489743
Coefficient of variation (CV)1.224744871
Kurtosis7.5
Mean2
Median Absolute Deviation (MAD)0
Skewness2.72165527
Sum16
Variance6
MonotonicityNot monotonic
2025-02-26T17:46:40.470908image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 6
66.7%
2 1
 
11.1%
8 1
 
11.1%
(Missing) 1
 
11.1%
ValueCountFrequency (%)
1 6
66.7%
2 1
 
11.1%
8 1
 
11.1%
ValueCountFrequency (%)
8 1
 
11.1%
2 1
 
11.1%
1 6
66.7%

w2_F01_19
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They strongly believe that people should care for nature. Looking after the environment is important to them

Distinct3
Distinct (%)37.5%
Missing1
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean2
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:40.509906image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31.25
95-th percentile5.9
Maximum8
Range7
Interquartile range (IQR)0.25

Descriptive statistics

Standard deviation2.449489743
Coefficient of variation (CV)1.224744871
Kurtosis7.5
Mean2
Median Absolute Deviation (MAD)0
Skewness2.72165527
Sum16
Variance6
MonotonicityNot monotonic
2025-02-26T17:46:40.549445image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 6
66.7%
8 1
 
11.1%
2 1
 
11.1%
(Missing) 1
 
11.1%
ValueCountFrequency (%)
1 6
66.7%
2 1
 
11.1%
8 1
 
11.1%
ValueCountFrequency (%)
8 1
 
11.1%
2 1
 
11.1%
1 6
66.7%

w2_F01_20
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: Religious belief is important to them. They try hard to do what their religion requires

Distinct3
Distinct (%)42.9%
Missing2
Missing (%)22.2%
Infinite0
Infinite (%)0.0%
Mean6.142857143
Minimum3
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:40.587365image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3.3
Q14
median8
Q38
95-th percentile8
Maximum8
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.340126167
Coefficient of variation (CV)0.3809507713
Kurtosis-2.485066163
Mean6.142857143
Median Absolute Deviation (MAD)0
Skewness-0.4570545095
Sum43
Variance5.476190476
MonotonicityNot monotonic
2025-02-26T17:46:40.624379image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
8 4
44.4%
4 2
22.2%
3 1
 
11.1%
(Missing) 2
22.2%
ValueCountFrequency (%)
3 1
 
11.1%
4 2
22.2%
8 4
44.4%
ValueCountFrequency (%)
8 4
44.4%
4 2
22.2%
3 1
 
11.1%

w2_F01_21
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them that things be organized and clean. They do not want things to be a mess

Distinct5
Distinct (%)62.5%
Missing1
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean3.125
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:40.658466image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11.75
median2.5
Q33.5
95-th percentile6.95
Maximum8
Range7
Interquartile range (IQR)1.75

Descriptive statistics

Standard deviation2.356601669
Coefficient of variation (CV)0.7541125342
Kurtosis2.005024762
Mean3.125
Median Absolute Deviation (MAD)1
Skewness1.461311832
Sum25
Variance5.553571429
MonotonicityNot monotonic
2025-02-26T17:46:40.695550image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 2
22.2%
3 2
22.2%
1 2
22.2%
5 1
11.1%
8 1
11.1%
(Missing) 1
11.1%
ValueCountFrequency (%)
1 2
22.2%
2 2
22.2%
3 2
22.2%
5 1
11.1%
8 1
11.1%
ValueCountFrequency (%)
8 1
11.1%
5 1
11.1%
3 2
22.2%
2 2
22.2%
1 2
22.2%

w2_F01_22
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They think it is important to be interested in things. They like to be curious and to try to understand all sorts of things

Distinct3
Distinct (%)37.5%
Missing1
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean2.125
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:40.732200image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile5.9
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.416461403
Coefficient of variation (CV)1.137158307
Kurtosis7.159666695
Mean2.125
Median Absolute Deviation (MAD)0
Skewness2.641160744
Sum17
Variance5.839285714
MonotonicityNot monotonic
2025-02-26T17:46:40.770142image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 5
55.6%
2 2
 
22.2%
8 1
 
11.1%
(Missing) 1
 
11.1%
ValueCountFrequency (%)
1 5
55.6%
2 2
 
22.2%
8 1
 
11.1%
ValueCountFrequency (%)
8 1
 
11.1%
2 2
 
22.2%
1 5
55.6%

w2_F01_23
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They believe all the worlds' people should live in harmony. Promoting peace among all groups in the world is important to them

Distinct4
Distinct (%)50.0%
Missing1
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean2.375
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:40.808071image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1.5
Q32.25
95-th percentile6.25
Maximum8
Range7
Interquartile range (IQR)1.25

Descriptive statistics

Standard deviation2.386719207
Coefficient of variation (CV)1.004934403
Kurtosis5.830964711
Mean2.375
Median Absolute Deviation (MAD)0.5
Skewness2.34973199
Sum19
Variance5.696428571
MonotonicityNot monotonic
2025-02-26T17:46:40.846045image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 4
44.4%
2 2
22.2%
8 1
 
11.1%
3 1
 
11.1%
(Missing) 1
 
11.1%
ValueCountFrequency (%)
1 4
44.4%
2 2
22.2%
3 1
 
11.1%
8 1
 
11.1%
ValueCountFrequency (%)
8 1
 
11.1%
3 1
 
11.1%
2 2
22.2%
1 4
44.4%

w2_F01_24
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They think it is important to be ambitious. They want to show how capable he is

Distinct5
Distinct (%)62.5%
Missing1
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean4.25
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:40.882963image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.35
Q12
median3
Q37.25
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)5.25

Descriptive statistics

Standard deviation2.96407056
Coefficient of variation (CV)0.6974283671
Kurtosis-2.052111838
Mean4.25
Median Absolute Deviation (MAD)1.5
Skewness0.4224030754
Sum34
Variance8.785714286
MonotonicityNot monotonic
2025-02-26T17:46:40.921086image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 3
33.3%
8 2
22.2%
4 1
 
11.1%
7 1
 
11.1%
1 1
 
11.1%
(Missing) 1
 
11.1%
ValueCountFrequency (%)
1 1
 
11.1%
2 3
33.3%
4 1
 
11.1%
7 1
 
11.1%
8 2
22.2%
ValueCountFrequency (%)
8 2
22.2%
7 1
 
11.1%
4 1
 
11.1%
2 3
33.3%
1 1
 
11.1%

w2_F01_25
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They believe it is best to do things in traditional ways. It is important to them to follow the customs he has learned

Distinct5
Distinct (%)62.5%
Missing1
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean5.625
Minimum3
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:40.959180image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3.35
Q14.75
median5
Q37.25
95-th percentile8
Maximum8
Range5
Interquartile range (IQR)2.5

Descriptive statistics

Standard deviation1.846811925
Coefficient of variation (CV)0.32832212
Kurtosis-1.300797676
Mean5.625
Median Absolute Deviation (MAD)1.5
Skewness0.1899410198
Sum45
Variance3.410714286
MonotonicityNot monotonic
2025-02-26T17:46:41.064206image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 3
33.3%
8 2
22.2%
3 1
 
11.1%
7 1
 
11.1%
4 1
 
11.1%
(Missing) 1
 
11.1%
ValueCountFrequency (%)
3 1
 
11.1%
4 1
 
11.1%
5 3
33.3%
7 1
 
11.1%
8 2
22.2%
ValueCountFrequency (%)
8 2
22.2%
7 1
 
11.1%
5 3
33.3%
4 1
 
11.1%
3 1
 
11.1%

w2_F01_26
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: Enjoying life's pleasures is important to them. They like to 'spoil' themself

Distinct5
Distinct (%)62.5%
Missing1
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean3.75
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:41.100247image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12.5
median3
Q34.75
95-th percentile7.65
Maximum8
Range7
Interquartile range (IQR)2.25

Descriptive statistics

Standard deviation2.549509757
Coefficient of variation (CV)0.6798692685
Kurtosis-0.4111580727
Mean3.75
Median Absolute Deviation (MAD)1.5
Skewness0.7844645406
Sum30
Variance6.5
MonotonicityNot monotonic
2025-02-26T17:46:41.138649image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 3
33.3%
1 2
22.2%
4 1
 
11.1%
7 1
 
11.1%
8 1
 
11.1%
(Missing) 1
 
11.1%
ValueCountFrequency (%)
1 2
22.2%
3 3
33.3%
4 1
 
11.1%
7 1
 
11.1%
8 1
 
11.1%
ValueCountFrequency (%)
8 1
 
11.1%
7 1
 
11.1%
4 1
 
11.1%
3 3
33.3%
1 2
22.2%

w2_F01_27
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to respond to the needs of others. They try to support those he knows

Distinct3
Distinct (%)37.5%
Missing1
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean2.5
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:41.176438image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11.75
median2
Q32
95-th percentile5.9
Maximum8
Range7
Interquartile range (IQR)0.25

Descriptive statistics

Standard deviation2.267786838
Coefficient of variation (CV)0.9071147352
Kurtosis7.097222222
Mean2.5
Median Absolute Deviation (MAD)0
Skewness2.596755916
Sum20
Variance5.142857143
MonotonicityNot monotonic
2025-02-26T17:46:41.214152image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 5
55.6%
1 2
 
22.2%
8 1
 
11.1%
(Missing) 1
 
11.1%
ValueCountFrequency (%)
1 2
 
22.2%
2 5
55.6%
8 1
 
11.1%
ValueCountFrequency (%)
8 1
 
11.1%
2 5
55.6%
1 2
 
22.2%

w2_F01_28
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to be obedient. They believe he should always show respect to their parents and to older people

Distinct4
Distinct (%)50.0%
Missing1
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean4.5
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:41.253417image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median5
Q37.25
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)6.25

Descriptive statistics

Standard deviation3.295017884
Coefficient of variation (CV)0.7322261965
Kurtosis-2.475692521
Mean4.5
Median Absolute Deviation (MAD)3
Skewness-0.07986539193
Sum36
Variance10.85714286
MonotonicityNot monotonic
2025-02-26T17:46:41.290265image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 3
33.3%
8 2
22.2%
7 2
22.2%
3 1
 
11.1%
(Missing) 1
 
11.1%
ValueCountFrequency (%)
1 3
33.3%
3 1
 
11.1%
7 2
22.2%
8 2
22.2%
ValueCountFrequency (%)
8 2
22.2%
7 2
22.2%
3 1
 
11.1%
1 3
33.3%

w2_F01_29
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They want everyone to be treated justly, even people he doesn't know. It is important to them to protect the weak in society

Distinct2
Distinct (%)25.0%
Missing1
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean1.875
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:41.325793image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile5.55
Maximum8
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.474873734
Coefficient of variation (CV)1.319932658
Kurtosis8
Mean1.875
Median Absolute Deviation (MAD)0
Skewness2.828427125
Sum15
Variance6.125
MonotonicityNot monotonic
2025-02-26T17:46:41.364435image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 7
77.8%
8 1
 
11.1%
(Missing) 1
 
11.1%
ValueCountFrequency (%)
1 7
77.8%
8 1
 
11.1%
ValueCountFrequency (%)
8 1
 
11.1%
1 7
77.8%

w2_F01_30
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They like surprises. It is important to them to have an exciting life

Distinct4
Distinct (%)50.0%
Missing1
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean2.25
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:41.403549image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32.25
95-th percentile6.25
Maximum8
Range7
Interquartile range (IQR)1.25

Descriptive statistics

Standard deviation2.434865793
Coefficient of variation (CV)1.082162575
Kurtosis5.88532443
Mean2.25
Median Absolute Deviation (MAD)0
Skewness2.385030392
Sum18
Variance5.928571429
MonotonicityNot monotonic
2025-02-26T17:46:41.443600image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 5
55.6%
2 1
 
11.1%
8 1
 
11.1%
3 1
 
11.1%
(Missing) 1
 
11.1%
ValueCountFrequency (%)
1 5
55.6%
2 1
 
11.1%
3 1
 
11.1%
8 1
 
11.1%
ValueCountFrequency (%)
8 1
 
11.1%
3 1
 
11.1%
2 1
 
11.1%
1 5
55.6%

w2_F01_31
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They try hard to avoid getting sick. Staying healthy is very important to them

Distinct4
Distinct (%)50.0%
Missing1
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean2.75
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:41.480459image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33.25
95-th percentile7.65
Maximum8
Range7
Interquartile range (IQR)2.25

Descriptive statistics

Standard deviation2.96407056
Coefficient of variation (CV)1.07784384
Kurtosis0.1332540155
Mean2.75
Median Absolute Deviation (MAD)0
Skewness1.420810345
Sum22
Variance8.785714286
MonotonicityNot monotonic
2025-02-26T17:46:41.519211image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 5
55.6%
7 1
 
11.1%
8 1
 
11.1%
2 1
 
11.1%
(Missing) 1
 
11.1%
ValueCountFrequency (%)
1 5
55.6%
2 1
 
11.1%
7 1
 
11.1%
8 1
 
11.1%
ValueCountFrequency (%)
8 1
 
11.1%
7 1
 
11.1%
2 1
 
11.1%
1 5
55.6%

w2_F01_32
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: Getting ahead in life is important to them. They strive to do better than others

Distinct3
Distinct (%)37.5%
Missing1
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean2.625
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:41.555939image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32.5
95-th percentile7.65
Maximum8
Range7
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation3.020761493
Coefficient of variation (CV)1.150766283
Kurtosis0.2176768625
Mean2.625
Median Absolute Deviation (MAD)0
Skewness1.473818706
Sum21
Variance9.125
MonotonicityNot monotonic
2025-02-26T17:46:41.593633image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 6
66.7%
8 1
 
11.1%
7 1
 
11.1%
(Missing) 1
 
11.1%
ValueCountFrequency (%)
1 6
66.7%
7 1
 
11.1%
8 1
 
11.1%
ValueCountFrequency (%)
8 1
 
11.1%
7 1
 
11.1%
1 6
66.7%

w2_F01_33
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: Forgiving people who might have wronged them is important to them. They try to see what is good in them and not to hold a grudge

Distinct3
Distinct (%)37.5%
Missing1
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean2
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:41.630864image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31.25
95-th percentile5.9
Maximum8
Range7
Interquartile range (IQR)0.25

Descriptive statistics

Standard deviation2.449489743
Coefficient of variation (CV)1.224744871
Kurtosis7.5
Mean2
Median Absolute Deviation (MAD)0
Skewness2.72165527
Sum16
Variance6
MonotonicityNot monotonic
2025-02-26T17:46:41.668961image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 6
66.7%
2 1
 
11.1%
8 1
 
11.1%
(Missing) 1
 
11.1%
ValueCountFrequency (%)
1 6
66.7%
2 1
 
11.1%
8 1
 
11.1%
ValueCountFrequency (%)
8 1
 
11.1%
2 1
 
11.1%
1 6
66.7%

w2_F01_34
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to be independent. They like to rely on themself

Distinct3
Distinct (%)37.5%
Missing1
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean2
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:41.706602image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31.25
95-th percentile5.9
Maximum8
Range7
Interquartile range (IQR)0.25

Descriptive statistics

Standard deviation2.449489743
Coefficient of variation (CV)1.224744871
Kurtosis7.5
Mean2
Median Absolute Deviation (MAD)0
Skewness2.72165527
Sum16
Variance6
MonotonicityNot monotonic
2025-02-26T17:46:41.744721image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 6
66.7%
8 1
 
11.1%
2 1
 
11.1%
(Missing) 1
 
11.1%
ValueCountFrequency (%)
1 6
66.7%
2 1
 
11.1%
8 1
 
11.1%
ValueCountFrequency (%)
8 1
 
11.1%
2 1
 
11.1%
1 6
66.7%

w2_F01_35
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: Having a stable government is important to them. They are concerned that the social order be protected

Distinct4
Distinct (%)50.0%
Missing1
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean2.5
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:41.781615image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33.25
95-th percentile6.6
Maximum8
Range7
Interquartile range (IQR)2.25

Descriptive statistics

Standard deviation2.507132682
Coefficient of variation (CV)1.002853073
Kurtosis3.304752066
Mean2.5
Median Absolute Deviation (MAD)0
Skewness1.849269354
Sum20
Variance6.285714286
MonotonicityNot monotonic
2025-02-26T17:46:41.819779image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 5
55.6%
8 1
 
11.1%
4 1
 
11.1%
3 1
 
11.1%
(Missing) 1
 
11.1%
ValueCountFrequency (%)
1 5
55.6%
3 1
 
11.1%
4 1
 
11.1%
8 1
 
11.1%
ValueCountFrequency (%)
8 1
 
11.1%
4 1
 
11.1%
3 1
 
11.1%
1 5
55.6%

w2_F01_36
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to be polite to other people all the time. They try never to disturb or irritate other expectations

Distinct4
Distinct (%)50.0%
Missing1
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean2.25
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:41.856165image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32.25
95-th percentile6.25
Maximum8
Range7
Interquartile range (IQR)1.25

Descriptive statistics

Standard deviation2.434865793
Coefficient of variation (CV)1.082162575
Kurtosis5.88532443
Mean2.25
Median Absolute Deviation (MAD)0
Skewness2.385030392
Sum18
Variance5.928571429
MonotonicityNot monotonic
2025-02-26T17:46:41.894748image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 5
55.6%
8 1
 
11.1%
3 1
 
11.1%
2 1
 
11.1%
(Missing) 1
 
11.1%
ValueCountFrequency (%)
1 5
55.6%
2 1
 
11.1%
3 1
 
11.1%
8 1
 
11.1%
ValueCountFrequency (%)
8 1
 
11.1%
3 1
 
11.1%
2 1
 
11.1%
1 5
55.6%

w2_F01_37
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They really want to enjoy life. Having a good time is very important to them

Distinct3
Distinct (%)37.5%
Missing1
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean2
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:41.931311image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31.25
95-th percentile5.9
Maximum8
Range7
Interquartile range (IQR)0.25

Descriptive statistics

Standard deviation2.449489743
Coefficient of variation (CV)1.224744871
Kurtosis7.5
Mean2
Median Absolute Deviation (MAD)0
Skewness2.72165527
Sum16
Variance6
MonotonicityNot monotonic
2025-02-26T17:46:41.969957image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 6
66.7%
8 1
 
11.1%
2 1
 
11.1%
(Missing) 1
 
11.1%
ValueCountFrequency (%)
1 6
66.7%
2 1
 
11.1%
8 1
 
11.1%
ValueCountFrequency (%)
8 1
 
11.1%
2 1
 
11.1%
1 6
66.7%

w2_F01_38
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to be humble and modest. They try not to draw to themself

Distinct3
Distinct (%)37.5%
Missing1
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean2.125
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:42.007655image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31.5
95-th percentile6.25
Maximum8
Range7
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation2.474873734
Coefficient of variation (CV)1.164646463
Kurtosis6.080799667
Mean2.125
Median Absolute Deviation (MAD)0
Skewness2.449104537
Sum17
Variance6.125
MonotonicityNot monotonic
2025-02-26T17:46:42.045695image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 6
66.7%
8 1
 
11.1%
3 1
 
11.1%
(Missing) 1
 
11.1%
ValueCountFrequency (%)
1 6
66.7%
3 1
 
11.1%
8 1
 
11.1%
ValueCountFrequency (%)
8 1
 
11.1%
3 1
 
11.1%
1 6
66.7%

w2_F01_39
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They always want to be the one who makes the decisions. They like to be the leader

Distinct4
Distinct (%)50.0%
Missing1
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean3
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:42.083264image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q33.25
95-th percentile6.6
Maximum8
Range7
Interquartile range (IQR)2.25

Descriptive statistics

Standard deviation2.32992949
Coefficient of variation (CV)0.7766431633
Kurtosis2.941551247
Mean3
Median Absolute Deviation (MAD)1.5
Skewness1.536075398
Sum24
Variance5.428571429
MonotonicityNot monotonic
2025-02-26T17:46:42.120199image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 3
33.3%
3 3
33.3%
8 1
 
11.1%
4 1
 
11.1%
(Missing) 1
 
11.1%
ValueCountFrequency (%)
1 3
33.3%
3 3
33.3%
4 1
 
11.1%
8 1
 
11.1%
ValueCountFrequency (%)
8 1
 
11.1%
4 1
 
11.1%
3 3
33.3%
1 3
33.3%

w2_F01_40
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to adapt to nature and to fit into it. They believe that people should not change nature

Distinct3
Distinct (%)37.5%
Missing1
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean2.25
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:42.155952image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1.5
Q32
95-th percentile5.9
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.375469878
Coefficient of variation (CV)1.05576439
Kurtosis6.97554879
Mean2.25
Median Absolute Deviation (MAD)0.5
Skewness2.589760784
Sum18
Variance5.642857143
MonotonicityNot monotonic
2025-02-26T17:46:42.194970image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 4
44.4%
2 3
33.3%
8 1
 
11.1%
(Missing) 1
 
11.1%
ValueCountFrequency (%)
1 4
44.4%
2 3
33.3%
8 1
 
11.1%
ValueCountFrequency (%)
8 1
 
11.1%
2 3
33.3%
1 4
44.4%

w2_interviewtime
Real number (ℝ)

Unique  Zeros 

interviewtime

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1182.685556
Minimum0
Maximum3748.94
Zeros1
Zeros (%)11.1%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:42.232932image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile135.28
Q1524.25
median854.79
Q31658.64
95-th percentile2951.892
Maximum3748.94
Range3748.94
Interquartile range (IQR)1134.39

Descriptive statistics

Standard deviation1125.264609
Coefficient of variation (CV)0.9514486787
Kurtosis3.164894652
Mean1182.685556
Median Absolute Deviation (MAD)516.59
Skewness1.627173374
Sum10644.17
Variance1266220.441
MonotonicityNot monotonic
2025-02-26T17:46:42.272749image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
338.2 1
11.1%
1756.32 1
11.1%
854.79 1
11.1%
0.0 1
11.1%
603.89 1
11.1%
3748.94 1
11.1%
1658.64 1
11.1%
524.25 1
11.1%
1159.14 1
11.1%
ValueCountFrequency (%)
0.0 1
11.1%
338.2 1
11.1%
524.25 1
11.1%
603.89 1
11.1%
854.79 1
11.1%
ValueCountFrequency (%)
3748.94 1
11.1%
1756.32 1
11.1%
1658.64 1
11.1%
1159.14 1
11.1%
854.79 1
11.1%

w2_GT_A1
Real number (ℝ)

Missing 

Distinct8
Distinct (%)100.0%
Missing1
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean79.75
Minimum42.46
Maximum175.24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:42.312291image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum42.46
5-th percentile42.726
Q145.1025
median69.79
Q395.8025
95-th percentile147.5235
Maximum175.24
Range132.78
Interquartile range (IQR)50.7

Descriptive statistics

Standard deviation44.35511856
Coefficient of variation (CV)0.5561770353
Kurtosis2.929229764
Mean79.75
Median Absolute Deviation (MAD)26.095
Skewness1.605685523
Sum638
Variance1967.376543
MonotonicityNot monotonic
2025-02-26T17:46:42.355272image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
43.22 1
11.1%
64.7 1
11.1%
96.05 1
11.1%
45.73 1
11.1%
95.72 1
11.1%
74.88 1
11.1%
42.46 1
11.1%
175.24 1
11.1%
(Missing) 1
11.1%
ValueCountFrequency (%)
42.46 1
11.1%
43.22 1
11.1%
45.73 1
11.1%
64.7 1
11.1%
74.88 1
11.1%
ValueCountFrequency (%)
175.24 1
11.1%
96.05 1
11.1%
95.72 1
11.1%
74.88 1
11.1%
64.7 1
11.1%

w2_GT_A2
Real number (ℝ)

Missing 

Distinct8
Distinct (%)100.0%
Missing1
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean32.84375
Minimum7.28
Maximum173.97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:42.394212image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum7.28
5-th percentile7.8015
Q18.9875
median13.155
Q318.665
95-th percentile119.629
Maximum173.97
Range166.69
Interquartile range (IQR)9.6775

Descriptive statistics

Standard deviation57.20279262
Coefficient of variation (CV)1.741664476
Kurtosis7.849967449
Mean32.84375
Median Absolute Deviation (MAD)4.94
Skewness2.793302426
Sum262.75
Variance3272.159484
MonotonicityNot monotonic
2025-02-26T17:46:42.434028image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
7.28 1
11.1%
10.58 1
11.1%
9.06 1
11.1%
173.97 1
11.1%
18.71 1
11.1%
18.65 1
11.1%
8.77 1
11.1%
15.73 1
11.1%
(Missing) 1
11.1%
ValueCountFrequency (%)
7.28 1
11.1%
8.77 1
11.1%
9.06 1
11.1%
10.58 1
11.1%
15.73 1
11.1%
ValueCountFrequency (%)
173.97 1
11.1%
18.71 1
11.1%
18.65 1
11.1%
15.73 1
11.1%
10.58 1
11.1%

w2_GT_B
Real number (ℝ)

Missing 

Distinct8
Distinct (%)100.0%
Missing1
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean232.2825
Minimum18.67
Maximum1625.92
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:42.473490image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum18.67
5-th percentile20.161
Q126.29
median38.305
Q342.895
95-th percentile1072.3495
Maximum1625.92
Range1607.25
Interquartile range (IQR)16.605

Descriptive statistics

Standard deviation563.193061
Coefficient of variation (CV)2.424603924
Kurtosis7.993318226
Mean232.2825
Median Absolute Deviation (MAD)8.44
Skewness2.826849037
Sum1858.26
Variance317186.4239
MonotonicityNot monotonic
2025-02-26T17:46:42.514664image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
18.67 1
11.1%
27.41 1
11.1%
44.29 1
11.1%
36.27 1
11.1%
1625.92 1
11.1%
40.34 1
11.1%
22.93 1
11.1%
42.43 1
11.1%
(Missing) 1
11.1%
ValueCountFrequency (%)
18.67 1
11.1%
22.93 1
11.1%
27.41 1
11.1%
36.27 1
11.1%
40.34 1
11.1%
ValueCountFrequency (%)
1625.92 1
11.1%
44.29 1
11.1%
42.43 1
11.1%
40.34 1
11.1%
36.27 1
11.1%

w2_GT_C
Real number (ℝ)

Missing 

Distinct8
Distinct (%)100.0%
Missing1
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean228.37625
Minimum7.45
Maximum684.34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:42.555309image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum7.45
5-th percentile7.8105
Q196.6725
median181.605
Q3279.815
95-th percentile583.617
Maximum684.34
Range676.89
Interquartile range (IQR)183.1425

Descriptive statistics

Standard deviation224.1149377
Coefficient of variation (CV)0.9813408253
Kurtosis1.747177419
Mean228.37625
Median Absolute Deviation (MAD)116.21
Skewness1.292923044
Sum1827.01
Variance50227.50528
MonotonicityNot monotonic
2025-02-26T17:46:42.593951image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
8.48 1
11.1%
141.34 1
11.1%
221.87 1
11.1%
7.45 1
11.1%
684.34 1
11.1%
396.56 1
11.1%
126.07 1
11.1%
240.9 1
11.1%
(Missing) 1
11.1%
ValueCountFrequency (%)
7.45 1
11.1%
8.48 1
11.1%
126.07 1
11.1%
141.34 1
11.1%
221.87 1
11.1%
ValueCountFrequency (%)
684.34 1
11.1%
396.56 1
11.1%
240.9 1
11.1%
221.87 1
11.1%
141.34 1
11.1%

w2_GT_D
Real number (ℝ)

Missing 

Distinct8
Distinct (%)100.0%
Missing1
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean155.67625
Minimum9.59
Maximum486.02
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:42.633069image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum9.59
5-th percentile16.1385
Q157.505
median117.535
Q3200.0425
95-th percentile395.958
Maximum486.02
Range476.43
Interquartile range (IQR)142.5375

Descriptive statistics

Standard deviation154.485668
Coefficient of variation (CV)0.9923521926
Kurtosis2.777554631
Mean155.67625
Median Absolute Deviation (MAD)81.095
Skewness1.557119617
Sum1245.41
Variance23865.82163
MonotonicityNot monotonic
2025-02-26T17:46:42.673839image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
67.24 1
11.1%
156.86 1
11.1%
9.59 1
11.1%
28.3 1
11.1%
486.02 1
11.1%
228.7 1
11.1%
78.21 1
11.1%
190.49 1
11.1%
(Missing) 1
11.1%
ValueCountFrequency (%)
9.59 1
11.1%
28.3 1
11.1%
67.24 1
11.1%
78.21 1
11.1%
156.86 1
11.1%
ValueCountFrequency (%)
486.02 1
11.1%
228.7 1
11.1%
190.49 1
11.1%
156.86 1
11.1%
78.21 1
11.1%

w2_GT_E
Real number (ℝ)

Missing 

Distinct8
Distinct (%)100.0%
Missing1
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean83.97
Minimum16.08
Maximum188.76
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:42.709435image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum16.08
5-th percentile25.845
Q147.01
median75.515
Q3101.1775
95-th percentile169.412
Maximum188.76
Range172.68
Interquartile range (IQR)54.1675

Descriptive statistics

Standard deviation54.96383616
Coefficient of variation (CV)0.6545651562
Kurtosis0.8133963087
Mean83.97
Median Absolute Deviation (MAD)29.515
Skewness0.9716490269
Sum671.76
Variance3021.023286
MonotonicityNot monotonic
2025-02-26T17:46:42.746579image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
16.08 1
11.1%
43.98 1
11.1%
71.65 1
11.1%
90.41 1
11.1%
133.48 1
11.1%
188.76 1
11.1%
48.02 1
11.1%
79.38 1
11.1%
(Missing) 1
11.1%
ValueCountFrequency (%)
16.08 1
11.1%
43.98 1
11.1%
48.02 1
11.1%
71.65 1
11.1%
79.38 1
11.1%
ValueCountFrequency (%)
188.76 1
11.1%
133.48 1
11.1%
90.41 1
11.1%
79.38 1
11.1%
71.65 1
11.1%

w2_GT_F
Real number (ℝ)

Missing 

Distinct8
Distinct (%)100.0%
Missing1
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean512.28125
Minimum170.43
Maximum1305.29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size213.0 B
2025-02-26T17:46:42.784968image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum170.43
5-th percentile178.781
Q1211.615
median403.375
Q3700.18
95-th percentile1095.465
Maximum1305.29
Range1134.86
Interquartile range (IQR)488.565

Descriptive statistics

Standard deviation383.5265171
Coefficient of variation (CV)0.7486639753
Kurtosis1.910775956
Mean512.28125
Median Absolute Deviation (MAD)221.015
Skewness1.391156619
Sum4098.25
Variance147092.5893
MonotonicityNot monotonic
2025-02-26T17:46:42.825791image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
170.43 1
11.1%
1305.29 1
11.1%
397.45 1
11.1%
217.39 1
11.1%
698.31 1
11.1%
705.79 1
11.1%
194.29 1
11.1%
409.3 1
11.1%
(Missing) 1
11.1%
ValueCountFrequency (%)
170.43 1
11.1%
194.29 1
11.1%
217.39 1
11.1%
397.45 1
11.1%
409.3 1
11.1%
ValueCountFrequency (%)
1305.29 1
11.1%
705.79 1
11.1%
698.31 1
11.1%
409.3 1
11.1%
397.45 1
11.1%